PUBLICACIÓN

Automatic assignment of moral foundations to movies by word embedding

Logo Open Access

ACCEDER A LA PUBLICACIÓN: Scopus Orcid Zenodo

Carlos González-Santos, Miguel A. Vega-Rodríguez, Carlos J. Pérez, Joaquín M. López-Muñoz, Iñaki Martínez-Sarriegui

2023 KNOWLEDGE-BASED SYSTEMS

Artificial Intelligence (Q1), Information Systems and Management (Q1), Management Information Systems (Q1), Software (Q1)

JCR: 7.2

SJR: 2.219

CITAS

9

DOI

10.1016/j.knosys.2023.110539

EID

2-s2.0-85153487581

ISSN

0950-7051

BIBTEX

@article{Vega-Rodríguez2023,title = {Automatic assignment of moral foundations to movies by word embedding},journal = {Knowledge-Based Systems},year = {2023},volume = {270},author = {Gonz{\'a}lez-Santos, C. and Vega-Rodr{\'i}guez, M.A. and P{\'e}rez, C.J. and L{\'o}pez-Mu{\~n}oz, J.M. and Mart{\'i}nez-Sarriegui, I.}}

AUTORES DE LA UEX

Carlos Javier Pérez Sánchez
Miguel Ángel Vega Rodríguez

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Teledetección Y Agricultura De Precisión Aplicadas Al Olivar Tradicional
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Teledetección Y Agricultura De Precisión Aplicadas Al Olivar Tradicional
Resumen Extractivo Automático De Los Contenidos Escritos Por Los Estudiantes En Campus Digitales: Un Caso De Estudio En La Plataforma De E-Learning Neurok
Teledetección Y Agricultura De Precisión Aplicadas Al Olivar Tradicional
Resumen Extractivo Automático De Los Contenidos Escritos Por Los Estudiantes En Campus Digitales: Un Caso De Estudio En La Plataforma De E-Learning Neurok
Algoritmo Multiobjetivo De Colonia De Abejas Artificiales Aplicado Al Problema De Orientación
Resumen Extractivo Automático De Los Contenidos Escritos Por Los Estudiantes En Campus Digitales: Un Caso De Estudio En La Plataforma De E-Learning Neurok
Algoritmo Multiobjetivo De Colonia De Abejas Artificiales Aplicado Al Problema De Orientación
Swarm Intelligence For Optimizing The Parameters Of Multiple Sequence Aligners
Algoritmo Multiobjetivo De Colonia De Abejas Artificiales Aplicado Al Problema De Orientación
Swarm Intelligence For Optimizing The Parameters Of Multiple Sequence Aligners
A Parallel Multiobjective Metaheuristic For Multiple Sequence Alignment
Swarm Intelligence For Optimizing The Parameters Of Multiple Sequence Aligners
A Parallel Multiobjective Metaheuristic For Multiple Sequence Alignment
Searching For Common Patterns On Protein Sequences By Means Of A Parallel Hybrid Honey-Bee Mating Optimization Algorithm
A Parallel Multiobjective Metaheuristic For Multiple Sequence Alignment
Searching For Common Patterns On Protein Sequences By Means Of A Parallel Hybrid Honey-Bee Mating Optimization Algorithm
Multiobjective Characteristic-Based Framework For Very-Large Multiple Sequence Alignment
Searching For Common Patterns On Protein Sequences By Means Of A Parallel Hybrid Honey-Bee Mating Optimization Algorithm
Multiobjective Characteristic-Based Framework For Very-Large Multiple Sequence Alignment
Parallelism In Computational Biology: A View From Diverse High-Performance Computing Applications
Multiobjective Characteristic-Based Framework For Very-Large Multiple Sequence Alignment
Parallelism In Computational Biology: A View From Diverse High-Performance Computing Applications
A Characteristic-Based Framework For Multiple Sequence Aligners
Parallelism In Computational Biology: A View From Diverse High-Performance Computing Applications
A Characteristic-Based Framework For Multiple Sequence Aligners
An Objective Method Of Street Classification For Noise Studies
A Characteristic-Based Framework For Multiple Sequence Aligners
An Objective Method Of Street Classification For Noise Studies
Computational Diagnosis Of Parkinson's Disease From Speech Based On Regularization Methods
An Objective Method Of Street Classification For Noise Studies
Computational Diagnosis Of Parkinson's Disease From Speech Based On Regularization Methods
Automatic Selection Of A Single Solution From The Pareto Front To Identify Key Players In Social Networks
Computational Diagnosis Of Parkinson's Disease From Speech Based On Regularization Methods
Automatic Selection Of A Single Solution From The Pareto Front To Identify Key Players In Social Networks
Análisis De Diseños Paralelos Multiobjetivo Y Políticas De Planificación En Biología Evolutiva
Automatic Selection Of A Single Solution From The Pareto Front To Identify Key Players In Social Networks
Análisis De Diseños Paralelos Multiobjetivo Y Políticas De Planificación En Biología Evolutiva
Extractive Multi-Document Text Summarization Using A Multi-Objective Artificial Bee Colony Optimization Approach
Análisis De Diseños Paralelos Multiobjetivo Y Políticas De Planificación En Biología Evolutiva
Extractive Multi-Document Text Summarization Using A Multi-Objective Artificial Bee Colony Optimization Approach
A Diadochokinesis-Based Expert System Considering Articulatory Features Of Plosive Consonants For Early Detection Of Parkinson's Disease
Extractive Multi-Document Text Summarization Using A Multi-Objective Artificial Bee Colony Optimization Approach
A Diadochokinesis-Based Expert System Considering Articulatory Features Of Plosive Consonants For Early Detection Of Parkinson's Disease
Boar Sperm Hyperactivated Motility Is Induced By Temperature Via An Intracellular Calcium-Dependent Pathway
A Diadochokinesis-Based Expert System Considering Articulatory Features Of Plosive Consonants For Early Detection Of Parkinson's Disease
Boar Sperm Hyperactivated Motility Is Induced By Temperature Via An Intracellular Calcium-Dependent Pathway
Graphs And Key Players In An Educational Social Network
Boar Sperm Hyperactivated Motility Is Induced By Temperature Via An Intracellular Calcium-Dependent Pathway
Graphs And Key Players In An Educational Social Network
Word Clouds As A Learning Analytic Tool For The Cooperative E-Learning Platform Neurok
Graphs And Key Players In An Educational Social Network
Word Clouds As A Learning Analytic Tool For The Cooperative E-Learning Platform Neurok
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Word Clouds As A Learning Analytic Tool For The Cooperative E-Learning Platform Neurok
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Optimization Of Resources In Parallel Systems Using A Multiobjective Artificial Bee Colony Algorithm
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Optimization Of Resources In Parallel Systems Using A Multiobjective Artificial Bee Colony Algorithm
Preface To The Special Issue: Parallel Computing In Computational Biology: A Technological Point Of View
Optimization Of Resources In Parallel Systems Using A Multiobjective Artificial Bee Colony Algorithm
Preface To The Special Issue: Parallel Computing In Computational Biology: A Technological Point Of View
Identification, Capsular Typing And Virulence Factors Of Pasteurella Multocida Isolates From Merino Lambs In Extremadura (Southwestern Spain)
Preface To The Special Issue: Parallel Computing In Computational Biology: A Technological Point Of View
Identification, Capsular Typing And Virulence Factors Of Pasteurella Multocida Isolates From Merino Lambs In Extremadura (Southwestern Spain)
Multiobjective Frog-Leaping Optimization For The Study Of Ancestral Relationships In Protein Data
Identification, Capsular Typing And Virulence Factors Of Pasteurella Multocida Isolates From Merino Lambs In Extremadura (Southwestern Spain)
Multiobjective Frog-Leaping Optimization For The Study Of Ancestral Relationships In Protein Data
Analysis Of Scheduling Policies In Metaheuristics For Evolutionary Biology
Multiobjective Frog-Leaping Optimization For The Study Of Ancestral Relationships In Protein Data
Analysis Of Scheduling Policies In Metaheuristics For Evolutionary Biology
Multi-Objective Artificial Bee Colony Algorithm Applied To The Bi-Objective Orienteering Problem
Analysis Of Scheduling Policies In Metaheuristics For Evolutionary Biology
Multi-Objective Artificial Bee Colony Algorithm Applied To The Bi-Objective Orienteering Problem
A Parallel Multiobjective Metaheuristic For Multiple Sequence Alignment
Multi-Objective Artificial Bee Colony Algorithm Applied To The Bi-Objective Orienteering Problem
A Parallel Multiobjective Metaheuristic For Multiple Sequence Alignment
A Two-Stage Variable Selection And Classification Approach For Parkinson's Disease Detection By Using Voice Recording Replications
A Parallel Multiobjective Metaheuristic For Multiple Sequence Alignment
A Two-Stage Variable Selection And Classification Approach For Parkinson's Disease Detection By Using Voice Recording Replications
Addressing Voice Recording Replications For Tracking Parkinson’s Disease Progression
A Two-Stage Variable Selection And Classification Approach For Parkinson's Disease Detection By Using Voice Recording Replications
Addressing Voice Recording Replications For Tracking Parkinson’s Disease Progression
Using Biological Knowledge For Multiple Sequence Aligner Decision Making
Addressing Voice Recording Replications For Tracking Parkinson’s Disease Progression
Using Biological Knowledge For Multiple Sequence Aligner Decision Making
Reducing Alignment Time Complexity Of Ultra-Large Sets Of Sequences
Using Biological Knowledge For Multiple Sequence Aligner Decision Making
Reducing Alignment Time Complexity Of Ultra-Large Sets Of Sequences
A Hybrid Mpi/openmp Parallel Implementation Of Nsga-Ii For Finding Patterns In Protein Sequences
Reducing Alignment Time Complexity Of Ultra-Large Sets Of Sequences
A Hybrid Mpi/openmp Parallel Implementation Of Nsga-Ii For Finding Patterns In Protein Sequences
Parallel Multi-Objective Optimization For High-Order Epistasis Detection
A Hybrid Mpi/openmp Parallel Implementation Of Nsga-Ii For Finding Patterns In Protein Sequences
Parallel Multi-Objective Optimization For High-Order Epistasis Detection
A Multi-Objective Artificial Bee Colony-Based Optimization Approach To Design Water Quality Monitoring Networks In River Basins
Parallel Multi-Objective Optimization For High-Order Epistasis Detection
A Multi-Objective Artificial Bee Colony-Based Optimization Approach To Design Water Quality Monitoring Networks In River Basins
Neurok: A Collaborative E-Learning Platform Based On Pedagogical Principles From Neuroscience
A Multi-Objective Artificial Bee Colony-Based Optimization Approach To Design Water Quality Monitoring Networks In River Basins
Neurok: A Collaborative E-Learning Platform Based On Pedagogical Principles From Neuroscience
La Autoevaluación Y Evaluación Por Pares En Distintas Asignaturas: ¿cómo Afecta A La Mejora De La Docencia?
Neurok: A Collaborative E-Learning Platform Based On Pedagogical Principles From Neuroscience
La Autoevaluación Y Evaluación Por Pares En Distintas Asignaturas: ¿cómo Afecta A La Mejora De La Docencia?
Preface
La Autoevaluación Y Evaluación Por Pares En Distintas Asignaturas: ¿cómo Afecta A La Mejora De La Docencia?
Preface
Euro-Par 2016: Parallel Processing Workshops
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Euro-Par 2016: Parallel Processing Workshops
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Euro-Par 2016: Parallel Processing Workshops
Preface
Hardware Coprocessors For High-Performance Symmetric Cryptography
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Hardware Coprocessors For High-Performance Symmetric Cryptography
Feedlot Conditions And Their Influence On Blood Parameter Values In Merino Lambs In Extremadura, Spain Over A Specific Time-Period
Hardware Coprocessors For High-Performance Symmetric Cryptography
Feedlot Conditions And Their Influence On Blood Parameter Values In Merino Lambs In Extremadura, Spain Over A Specific Time-Period
A Fine-Grained Parallel Approach For The Registration Areas Optimization
Feedlot Conditions And Their Influence On Blood Parameter Values In Merino Lambs In Extremadura, Spain Over A Specific Time-Period
A Fine-Grained Parallel Approach For The Registration Areas Optimization
Using Mixed Mode Programming To Parallelize An Indicator-Based Evolutionary Algorithm For Inferring Multiobjective Phylogenetic Histories
A Fine-Grained Parallel Approach For The Registration Areas Optimization
Using Mixed Mode Programming To Parallelize An Indicator-Based Evolutionary Algorithm For Inferring Multiobjective Phylogenetic Histories
Parallelism-Based Approaches In Computational Biology: A View From Diverse Case Studies
Using Mixed Mode Programming To Parallelize An Indicator-Based Evolutionary Algorithm For Inferring Multiobjective Phylogenetic Histories
Parallelism-Based Approaches In Computational Biology: A View From Diverse Case Studies
An Accuracy-Aware Implementation Of Two-Point Three-Dimensional Correlation Function Using Bin-Recycling Strategy On Gpu
Parallelism-Based Approaches In Computational Biology: A View From Diverse Case Studies
An Accuracy-Aware Implementation Of Two-Point Three-Dimensional Correlation Function Using Bin-Recycling Strategy On Gpu
Asynchronous Non-Generational Model To Parallelize Metaheuristics: A Bioinformatics Case Study
An Accuracy-Aware Implementation Of Two-Point Three-Dimensional Correlation Function Using Bin-Recycling Strategy On Gpu
Asynchronous Non-Generational Model To Parallelize Metaheuristics: A Bioinformatics Case Study
Accelerating The Phylogenetic Parsimony Function On Heterogeneous Systems
Asynchronous Non-Generational Model To Parallelize Metaheuristics: A Bioinformatics Case Study
Accelerating The Phylogenetic Parsimony Function On Heterogeneous Systems
Parallel Evaluation Of Nonseparable Functions By Evolutionary Algorithms On Gpu
Accelerating The Phylogenetic Parsimony Function On Heterogeneous Systems
Parallel Evaluation Of Nonseparable Functions By Evolutionary Algorithms On Gpu
Solving The Multi-Objective Path Planning Problem In Mobile Robotics With A Firefly-Based Approach
Parallel Evaluation Of Nonseparable Functions By Evolutionary Algorithms On Gpu
Solving The Multi-Objective Path Planning Problem In Mobile Robotics With A Firefly-Based Approach
Improving Multiobjective Phylogenetic Searches By Using A Parallel Ε-Dominance Based Adaptation Of The Firefly Algorithm
Solving The Multi-Objective Path Planning Problem In Mobile Robotics With A Firefly-Based Approach
Improving Multiobjective Phylogenetic Searches By Using A Parallel Ε-Dominance Based Adaptation Of The Firefly Algorithm
Diagnosis And Tracking Of Parkinson’s Disease By Using Automatically Extracted Acoustic Features
Improving Multiobjective Phylogenetic Searches By Using A Parallel Ε-Dominance Based Adaptation Of The Firefly Algorithm
Diagnosis And Tracking Of Parkinson’s Disease By Using Automatically Extracted Acoustic Features
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Diagnosis And Tracking Of Parkinson’s Disease By Using Automatically Extracted Acoustic Features
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A Hybrid Multiobjective Memetic Metaheuristic For Multiple Sequence Alignment
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A Hybrid Multiobjective Memetic Metaheuristic For Multiple Sequence Alignment
Hybrid Multiobjective Artificial Bee Colony For Multiple Sequence Alignment
A Hybrid Multiobjective Memetic Metaheuristic For Multiple Sequence Alignment
Hybrid Multiobjective Artificial Bee Colony For Multiple Sequence Alignment
Fattened Backfilling: An Improved Strategy For Job Scheduling In Parallel Systems
Hybrid Multiobjective Artificial Bee Colony For Multiple Sequence Alignment
Fattened Backfilling: An Improved Strategy For Job Scheduling In Parallel Systems
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Fattened Backfilling: An Improved Strategy For Job Scheduling In Parallel Systems
Preface
A Comparative Study Of Different Motif Occurrence Models Applied To A Hybrid Multiobjective Shuffle Frog Leaping Algorithm
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A Comparative Study Of Different Motif Occurrence Models Applied To A Hybrid Multiobjective Shuffle Frog Leaping Algorithm
Mannheimia Haemolytica And Bibersteinia Trehalosi Serotypes Isolated From Merino Breed Lambs In Extremadura (Southwestern Spain)
A Comparative Study Of Different Motif Occurrence Models Applied To A Hybrid Multiobjective Shuffle Frog Leaping Algorithm
Mannheimia Haemolytica And Bibersteinia Trehalosi Serotypes Isolated From Merino Breed Lambs In Extremadura (Southwestern Spain)
Investigations Into The Seasonal Presence Of Mycoplasma Species In Fattening Lambs
Mannheimia Haemolytica And Bibersteinia Trehalosi Serotypes Isolated From Merino Breed Lambs In Extremadura (Southwestern Spain)
Investigations Into The Seasonal Presence Of Mycoplasma Species In Fattening Lambs
Identifying Risk Factors For Ovine Respiratory Processes By Using Bayesian Networks
Investigations Into The Seasonal Presence Of Mycoplasma Species In Fattening Lambs
Identifying Risk Factors For Ovine Respiratory Processes By Using Bayesian Networks
An Efficient Way Of Assigning Paging Areas By Using Mobility Models
Identifying Risk Factors For Ovine Respiratory Processes By Using Bayesian Networks
An Efficient Way Of Assigning Paging Areas By Using Mobility Models
Applying The Movns (Multi-Objective Variable Neighborhood Search) Algorithm To Solve The Path Planning Problem In Mobile Robotics
An Efficient Way Of Assigning Paging Areas By Using Mobility Models
Applying The Movns (Multi-Objective Variable Neighborhood Search) Algorithm To Solve The Path Planning Problem In Mobile Robotics
Bin Recycling Strategy For Improving The Histogram Precision On Gpu
Applying The Movns (Multi-Objective Variable Neighborhood Search) Algorithm To Solve The Path Planning Problem In Mobile Robotics
Bin Recycling Strategy For Improving The Histogram Precision On Gpu
Bin Recycling Strategy For An Accuracy-Aware Implementation Of Two-Point Angular Correlation Function On Gpu
Bin Recycling Strategy For Improving The Histogram Precision On Gpu
Bin Recycling Strategy For An Accuracy-Aware Implementation Of Two-Point Angular Correlation Function On Gpu
Performance Evaluation Of Dominance-Based And Indicator-Based Multi Objective Approaches For Phylogenetic Inference
Bin Recycling Strategy For An Accuracy-Aware Implementation Of Two-Point Angular Correlation Function On Gpu
Performance Evaluation Of Dominance-Based And Indicator-Based Multi Objective Approaches For Phylogenetic Inference
Addressing Voice Recording Replications For Parkinson's Disease Detection
Performance Evaluation Of Dominance-Based And Indicator-Based Multi Objective Approaches For Phylogenetic Inference
Addressing Voice Recording Replications For Parkinson's Disease Detection
A Bayesian Negotiation Model For Quality And Price In A Multi-Consumer Context
Addressing Voice Recording Replications For Parkinson's Disease Detection
A Bayesian Negotiation Model For Quality And Price In A Multi-Consumer Context
Embedded Intelligence For Fast Qos-Based Vertical Handoff In Heterogeneous Wireless Access Networks
A Bayesian Negotiation Model For Quality And Price In A Multi-Consumer Context
Embedded Intelligence For Fast Qos-Based Vertical Handoff In Heterogeneous Wireless Access Networks
A New Realistic Approach For The Relay Node Placement Problem In Wireless Sensor Networks By Means Of Evolutionary Computation
Embedded Intelligence For Fast Qos-Based Vertical Handoff In Heterogeneous Wireless Access Networks
A New Realistic Approach For The Relay Node Placement Problem In Wireless Sensor Networks By Means Of Evolutionary Computation
Effect Of Data Layout In The Evaluation Time Of Non-Separable Functions On Gpu
A New Realistic Approach For The Relay Node Placement Problem In Wireless Sensor Networks By Means Of Evolutionary Computation
Effect Of Data Layout In The Evaluation Time Of Non-Separable Functions On Gpu
Parallel H4msa For Multiple Sequence Alignment
Effect Of Data Layout In The Evaluation Time Of Non-Separable Functions On Gpu
Parallel H4msa For Multiple Sequence Alignment
Message From The Pbio 2015 Workshop Chairs
Parallel H4msa For Multiple Sequence Alignment
Message From The Pbio 2015 Workshop Chairs
Finding Patterns In Protein Sequences By Using A Hybrid Multiobjective Teaching Learning Based Optimization Algorithm
Message From The Pbio 2015 Workshop Chairs
Finding Patterns In Protein Sequences By Using A Hybrid Multiobjective Teaching Learning Based Optimization Algorithm
Multiobjective Optimization Algorithms For Motif Discovery In Dna Sequences
Finding Patterns In Protein Sequences By Using A Hybrid Multiobjective Teaching Learning Based Optimization Algorithm
Multiobjective Optimization Algorithms For Motif Discovery In Dna Sequences
Multiobjective Swarm Intelligence For The Traffic Grooming Problem
Multiobjective Optimization Algorithms For Motif Discovery In Dna Sequences
Multiobjective Swarm Intelligence For The Traffic Grooming Problem
Multiobjective Evolutionary Algorithm Based On Decomposition For 3-Objective Optimization Problems With Objectives In Different Scales
Multiobjective Swarm Intelligence For The Traffic Grooming Problem
Multiobjective Evolutionary Algorithm Based On Decomposition For 3-Objective Optimization Problems With Objectives In Different Scales
A New Bayesian Network-Based Approach To The Analysis Of Sperm Motility: Application In The Study Of Tench (Tinca Tinca) Semen
Multiobjective Evolutionary Algorithm Based On Decomposition For 3-Objective Optimization Problems With Objectives In Different Scales
A New Bayesian Network-Based Approach To The Analysis Of Sperm Motility: Application In The Study Of Tench (Tinca Tinca) Semen
A Condition-Based Maintenance For A System Subject To Multiple Degradation Processes And External Shocks
A New Bayesian Network-Based Approach To The Analysis Of Sperm Motility: Application In The Study Of Tench (Tinca Tinca) Semen
A Condition-Based Maintenance For A System Subject To Multiple Degradation Processes And External Shocks
A Monte Carlo–based Bayesian Approach For Measuring Agreement In A Qualitative Scale
A Condition-Based Maintenance For A System Subject To Multiple Degradation Processes And External Shocks
A Monte Carlo–based Bayesian Approach For Measuring Agreement In A Qualitative Scale
Valuation Of Immune Response By Using Phagocytosis Index And Parameters Associated As Markers Of Animal Stress In Fattening Lambs
A Monte Carlo–based Bayesian Approach For Measuring Agreement In A Qualitative Scale
Valuation Of Immune Response By Using Phagocytosis Index And Parameters Associated As Markers Of Animal Stress In Fattening Lambs
A Condition-Based Maintenance Of A Dependent Degradation-Threshold-Shock Model In A System With Multiple Degradation Processes
Valuation Of Immune Response By Using Phagocytosis Index And Parameters Associated As Markers Of Animal Stress In Fattening Lambs
A Condition-Based Maintenance Of A Dependent Degradation-Threshold-Shock Model In A System With Multiple Degradation Processes
Performance And Energy Aware Scheduling Simulator For Hpc: Evaluating Different Resource Selection Methods
A Condition-Based Maintenance Of A Dependent Degradation-Threshold-Shock Model In A System With Multiple Degradation Processes
Performance And Energy Aware Scheduling Simulator For Hpc: Evaluating Different Resource Selection Methods
Parallelizing Nsgaii For Accelerating The Registration Areas Optimization In Mobile Communication Networks
Performance And Energy Aware Scheduling Simulator For Hpc: Evaluating Different Resource Selection Methods
Parallelizing Nsgaii For Accelerating The Registration Areas Optimization In Mobile Communication Networks
Studying The Geographical Cluster Paging With Delay Constraint In Registration Areas With The Algorithm Nsgaii
Parallelizing Nsgaii For Accelerating The Registration Areas Optimization In Mobile Communication Networks
Studying The Geographical Cluster Paging With Delay Constraint In Registration Areas With The Algorithm Nsgaii
Parallelism In Bioinformatics: A View From Different Parallelism-Based Technologies
Studying The Geographical Cluster Paging With Delay Constraint In Registration Areas With The Algorithm Nsgaii
Parallelism In Bioinformatics: A View From Different Parallelism-Based Technologies
Optimizing The Mobility Management Task In Networks Of Four World Capital Cities
Parallelism In Bioinformatics: A View From Different Parallelism-Based Technologies
Optimizing The Mobility Management Task In Networks Of Four World Capital Cities
A Multiobjective Study Of The Gaussian Cluster Paging In The Reporting Cells Strategy
Optimizing The Mobility Management Task In Networks Of Four World Capital Cities
A Multiobjective Study Of The Gaussian Cluster Paging In The Reporting Cells Strategy
Parallelism-Based Technologies In Bioinformatics And Biomedicine: A View From Diverse Perspectives
A Multiobjective Study Of The Gaussian Cluster Paging In The Reporting Cells Strategy
Parallelism-Based Technologies In Bioinformatics And Biomedicine: A View From Diverse Perspectives
On The Design Of Shared Memory Approaches To Parallelize A Multiobjective Bee-Inspired Proposal For Phylogenetic Reconstruction
Parallelism-Based Technologies In Bioinformatics And Biomedicine: A View From Diverse Perspectives
On The Design Of Shared Memory Approaches To Parallelize A Multiobjective Bee-Inspired Proposal For Phylogenetic Reconstruction
Multi-Objective Energy Optimization In Grid Systems From A Brain Storming Strategy
On The Design Of Shared Memory Approaches To Parallelize A Multiobjective Bee-Inspired Proposal For Phylogenetic Reconstruction
Multi-Objective Energy Optimization In Grid Systems From A Brain Storming Strategy
A Comparative Study Of Parallel Ransac Implementations In 3d Space
Multi-Objective Energy Optimization In Grid Systems From A Brain Storming Strategy
A Comparative Study Of Parallel Ransac Implementations In 3d Space
A Comparative Analysis Of Adaptive Solutions For Grid Environments
A Comparative Study Of Parallel Ransac Implementations In 3d Space
A Comparative Analysis Of Adaptive Solutions For Grid Environments
Intelligent Self-Adaptive Resources Selection For Grid Applications
A Comparative Analysis Of Adaptive Solutions For Grid Environments
Intelligent Self-Adaptive Resources Selection For Grid Applications
Mosfla-Mrpp: Multi-Objective Shuffled Frog-Leaping Algorithm Applied To Mobile Robot Path Planning
Intelligent Self-Adaptive Resources Selection For Grid Applications
Mosfla-Mrpp: Multi-Objective Shuffled Frog-Leaping Algorithm Applied To Mobile Robot Path Planning
A Comparison Exercise On Parallel Evaluation Of Rosenbrock Function
Mosfla-Mrpp: Multi-Objective Shuffled Frog-Leaping Algorithm Applied To Mobile Robot Path Planning
A Comparison Exercise On Parallel Evaluation Of Rosenbrock Function
Parallel Multiobjective Metaheuristicsfor Inferring Phylogenies On Multicore Clusters
A Comparison Exercise On Parallel Evaluation Of Rosenbrock Function
Parallel Multiobjective Metaheuristicsfor Inferring Phylogenies On Multicore Clusters
A Hybrid Approach To Parallelize A Fast Non-Dominated Sorting Genetic Algorithm For Phylogenetic Inference
Parallel Multiobjective Metaheuristicsfor Inferring Phylogenies On Multicore Clusters
A Hybrid Approach To Parallelize A Fast Non-Dominated Sorting Genetic Algorithm For Phylogenetic Inference
Multiobjective Small-World Optimization For Energy Saving In Grid Environments
A Hybrid Approach To Parallelize A Fast Non-Dominated Sorting Genetic Algorithm For Phylogenetic Inference
Multiobjective Small-World Optimization For Energy Saving In Grid Environments
Particle Swarm Optimizer With Finite Velocity Of Information Transmission
Multiobjective Small-World Optimization For Energy Saving In Grid Environments
Particle Swarm Optimizer With Finite Velocity Of Information Transmission
Bayesian Analysis Of Some Models That Use The Asymmetric Exponential Power Distribution
Particle Swarm Optimizer With Finite Velocity Of Information Transmission
Bayesian Analysis Of Some Models That Use The Asymmetric Exponential Power Distribution
A Latent Variable-Based Bayesian Regression To Address Recording Replications In Parkinson's Disease
Bayesian Analysis Of Some Models That Use The Asymmetric Exponential Power Distribution
A Latent Variable-Based Bayesian Regression To Address Recording Replications In Parkinson's Disease
Parallelizing And Optimizing A Hybrid Differential Evolution With Pareto Tournaments For Discovering Motifs In Dna Sequences
A Latent Variable-Based Bayesian Regression To Address Recording Replications In Parkinson's Disease
Parallelizing And Optimizing A Hybrid Differential Evolution With Pareto Tournaments For Discovering Motifs In Dna Sequences
A Parallel Multiobjective Approach Based On Honey Bees For Traffic Grooming In Optical Networks
Parallelizing And Optimizing A Hybrid Differential Evolution With Pareto Tournaments For Discovering Motifs In Dna Sequences
A Parallel Multiobjective Approach Based On Honey Bees For Traffic Grooming In Optical Networks
Designing A Fine-Grained Parallel Differential Evolution With Pareto Tournaments For Solving An Optical Networking Problem
A Parallel Multiobjective Approach Based On Honey Bees For Traffic Grooming In Optical Networks
Designing A Fine-Grained Parallel Differential Evolution With Pareto Tournaments For Solving An Optical Networking Problem
A Multiobjective Evolutionary Algorithm Based On Decomposition With Normal Boundary Intersection For Traffic Grooming In Optical Networks
Designing A Fine-Grained Parallel Differential Evolution With Pareto Tournaments For Solving An Optical Networking Problem
A Multiobjective Evolutionary Algorithm Based On Decomposition With Normal Boundary Intersection For Traffic Grooming In Optical Networks
An Improved Multiobjective Approach Inspired By The Flashing Behaviour Of Fireflies For Traffic Grooming In Optical Wdm Networks
A Multiobjective Evolutionary Algorithm Based On Decomposition With Normal Boundary Intersection For Traffic Grooming In Optical Networks
An Improved Multiobjective Approach Inspired By The Flashing Behaviour Of Fireflies For Traffic Grooming In Optical Wdm Networks
Performance Assessment Of Multiobjective Approaches In Optical Traffic Grooming
An Improved Multiobjective Approach Inspired By The Flashing Behaviour Of Fireflies For Traffic Grooming In Optical Wdm Networks
Performance Assessment Of Multiobjective Approaches In Optical Traffic Grooming
Convergence Analysis Of Some Multiobjective Evolutionary Algorithms When Discovering Motifs
Performance Assessment Of Multiobjective Approaches In Optical Traffic Grooming
Convergence Analysis Of Some Multiobjective Evolutionary Algorithms When Discovering Motifs
Intelligent Relay Node Placement In Heterogeneous Wireless Sensor Networks For Energy Efficiency
Convergence Analysis Of Some Multiobjective Evolutionary Algorithms When Discovering Motifs
Intelligent Relay Node Placement In Heterogeneous Wireless Sensor Networks For Energy Efficiency
Theory And Practice Of Natural Computing
Intelligent Relay Node Placement In Heterogeneous Wireless Sensor Networks For Energy Efficiency
Theory And Practice Of Natural Computing
Solving The Location Areas Management Problem With Multi-Objective Evolutionary Strategies
Theory And Practice Of Natural Computing
Solving The Location Areas Management Problem With Multi-Objective Evolutionary Strategies
A Trajectory-Based Heuristic To Solve A Three-Objective Optimization Problem For Wireless Sensor Network Deployment
Solving The Location Areas Management Problem With Multi-Objective Evolutionary Strategies
A Trajectory-Based Heuristic To Solve A Three-Objective Optimization Problem For Wireless Sensor Network Deployment
Gene Variants And Haplotypes Modifying Transcription Factor Binding Sites In The Human Cyclooxygenase 1 And 2 (Ptgs1 And Ptgs2) Genes
A Trajectory-Based Heuristic To Solve A Three-Objective Optimization Problem For Wireless Sensor Network Deployment
Gene Variants And Haplotypes Modifying Transcription Factor Binding Sites In The Human Cyclooxygenase 1 And 2 (Ptgs1 And Ptgs2) Genes
Hardware Security Platform For Multicast Communications
Gene Variants And Haplotypes Modifying Transcription Factor Binding Sites In The Human Cyclooxygenase 1 And 2 (Ptgs1 And Ptgs2) Genes
Hardware Security Platform For Multicast Communications
Evolutionary Team Based On Different Metaheuristics For Solving A Real-World Problem In The Telecommunication Domain
Hardware Security Platform For Multicast Communications
Evolutionary Team Based On Different Metaheuristics For Solving A Real-World Problem In The Telecommunication Domain
Dna Strand Generation For Dna Computing By Using A Multi-Objective Differential Evolution Algorithm
Evolutionary Team Based On Different Metaheuristics For Solving A Real-World Problem In The Telecommunication Domain
Dna Strand Generation For Dna Computing By Using A Multi-Objective Differential Evolution Algorithm
A Multiobjective Approach Based On The Behavior Of Fireflies To Generate Reliable Dna Sequences For Molecular Computing
Dna Strand Generation For Dna Computing By Using A Multi-Objective Differential Evolution Algorithm
A Multiobjective Approach Based On The Behavior Of Fireflies To Generate Reliable Dna Sequences For Molecular Computing
A Comparative Study Of Parallel Software Surf Implementations
A Multiobjective Approach Based On The Behavior Of Fireflies To Generate Reliable Dna Sequences For Molecular Computing
A Comparative Study Of Parallel Software Surf Implementations
Swarm Approach Based On Gravity For Optimizing Energy Savings In Grid Systems
A Comparative Study Of Parallel Software Surf Implementations
Swarm Approach Based On Gravity For Optimizing Energy Savings In Grid Systems
Poster: High-Performance Implementations For Shear-Shear Correlation Calculation
Swarm Approach Based On Gravity For Optimizing Energy Savings In Grid Systems
Poster: High-Performance Implementations For Shear-Shear Correlation Calculation
Applying Openmp-Based Parallel Implementations Of Nsga-Ii And Spea2 To Study Phylogenetic Relationships
Poster: High-Performance Implementations For Shear-Shear Correlation Calculation
Applying Openmp-Based Parallel Implementations Of Nsga-Ii And Spea2 To Study Phylogenetic Relationships
Cost Optimization Based On Brain Storming For Grid Scheduling
Applying Openmp-Based Parallel Implementations Of Nsga-Ii And Spea2 To Study Phylogenetic Relationships
Cost Optimization Based On Brain Storming For Grid Scheduling
Energy Optimization For Task Scheduling In Distributed Systems By An Artificial Bee Colony Approach
Cost Optimization Based On Brain Storming For Grid Scheduling
Energy Optimization For Task Scheduling In Distributed Systems By An Artificial Bee Colony Approach
Studying The Reporting Cells Strategy In A Realistic Mobile Environment
Energy Optimization For Task Scheduling In Distributed Systems By An Artificial Bee Colony Approach
Studying The Reporting Cells Strategy In A Realistic Mobile Environment
Performance Analysis Of Multiobjective Artificial Bee Colony Implementations For Phylogenetic Reconstruction
Studying The Reporting Cells Strategy In A Realistic Mobile Environment
Performance Analysis Of Multiobjective Artificial Bee Colony Implementations For Phylogenetic Reconstruction
On The Use Of Multiobjective Optimization For Solving The Location Areas Strategy With Different Paging Procedures In A Realistic Mobile Network
Performance Analysis Of Multiobjective Artificial Bee Colony Implementations For Phylogenetic Reconstruction
On The Use Of Multiobjective Optimization For Solving The Location Areas Strategy With Different Paging Procedures In A Realistic Mobile Network
The Software Project Scheduling Problem: A Scalability Analysis Of Multi-Objective Metaheuristics
On The Use Of Multiobjective Optimization For Solving The Location Areas Strategy With Different Paging Procedures In A Realistic Mobile Network
The Software Project Scheduling Problem: A Scalability Analysis Of Multi-Objective Metaheuristics
A Strength Pareto Approach And A Novel Formulation In The Reporting Cells Planning
The Software Project Scheduling Problem: A Scalability Analysis Of Multi-Objective Metaheuristics
A Strength Pareto Approach And A Novel Formulation In The Reporting Cells Planning
Inferring Multiobjective Phylogenetic Hypotheses By Using A Parallel Indicator-Based Evolutionary Algorithm
A Strength Pareto Approach And A Novel Formulation In The Reporting Cells Planning
Inferring Multiobjective Phylogenetic Hypotheses By Using A Parallel Indicator-Based Evolutionary Algorithm
Studying The Reporting Cells Planning With The Non-Dominated Sorting Genetic Algorithm Ii
Inferring Multiobjective Phylogenetic Hypotheses By Using A Parallel Indicator-Based Evolutionary Algorithm
Studying The Reporting Cells Planning With The Non-Dominated Sorting Genetic Algorithm Ii
A Service Robot For Monitoring Elderly People In The Context Of Ambient Assisted Living
Studying The Reporting Cells Planning With The Non-Dominated Sorting Genetic Algorithm Ii
A Service Robot For Monitoring Elderly People In The Context Of Ambient Assisted Living
A Self-Adaptive Resources Selection Model Through A Small-World Based Heuristic
A Service Robot For Monitoring Elderly People In The Context Of Ambient Assisted Living
A Self-Adaptive Resources Selection Model Through A Small-World Based Heuristic
A Strength Pareto Approach To Solve The Reporting Cells Planning Problem
A Self-Adaptive Resources Selection Model Through A Small-World Based Heuristic
A Strength Pareto Approach To Solve The Reporting Cells Planning Problem
Performance And Precision Of Histogram Calculation On Gpus: Cosmological Analysis As A Case Study
A Strength Pareto Approach To Solve The Reporting Cells Planning Problem
Performance And Precision Of Histogram Calculation On Gpus: Cosmological Analysis As A Case Study
Self-Adaptivity For Grid Applications. An Efficient Resources Selection Model Based On Evolutionary Computation Algorithms
Performance And Precision Of Histogram Calculation On Gpus: Cosmological Analysis As A Case Study
Self-Adaptivity For Grid Applications. An Efficient Resources Selection Model Based On Evolutionary Computation Algorithms
A Comparative Study Of Software Filters Applied As A Previous Step Of The Icp Algorithm In Robot Location
Self-Adaptivity For Grid Applications. An Efficient Resources Selection Model Based On Evolutionary Computation Algorithms
A Comparative Study Of Software Filters Applied As A Previous Step Of The Icp Algorithm In Robot Location
Metaheuristics For Modelling Low-Resolution Galaxy Spectral Energy Distribution
A Comparative Study Of Software Filters Applied As A Previous Step Of The Icp Algorithm In Robot Location
Metaheuristics For Modelling Low-Resolution Galaxy Spectral Energy Distribution
Non-Dominated Sorting And A Novel Formulation In The Reporting Cells Planning
Metaheuristics For Modelling Low-Resolution Galaxy Spectral Energy Distribution
Non-Dominated Sorting And A Novel Formulation In The Reporting Cells Planning
Methodologies And Tools For The Design Space Exploration Of Embedded Systems
Non-Dominated Sorting And A Novel Formulation In The Reporting Cells Planning
Methodologies And Tools For The Design Space Exploration Of Embedded Systems
Gpu-Based Shear-Shear Correlation Calculation
Methodologies And Tools For The Design Space Exploration Of Embedded Systems
Gpu-Based Shear-Shear Correlation Calculation
Adversarial Life Testing: A Bayesian Negotiation Model
Gpu-Based Shear-Shear Correlation Calculation
Adversarial Life Testing: A Bayesian Negotiation Model
Addressing Misclassification For Binary Data: Probit And T-Link Regressions
Adversarial Life Testing: A Bayesian Negotiation Model
Addressing Misclassification For Binary Data: Probit And T-Link Regressions
Bayesian Binary Regression With Exponential Power Link
Addressing Misclassification For Binary Data: Probit And T-Link Regressions
Bayesian Binary Regression With Exponential Power Link
A New Multiobjective Artificial Bee Colony Algorithm To Solve A Real-World Frequency Assignment Problem
Bayesian Binary Regression With Exponential Power Link
A New Multiobjective Artificial Bee Colony Algorithm To Solve A Real-World Frequency Assignment Problem
Low Power Consumption Security Platform For Industrial Communications Using An Mpsoc
A New Multiobjective Artificial Bee Colony Algorithm To Solve A Real-World Frequency Assignment Problem
Low Power Consumption Security Platform For Industrial Communications Using An Mpsoc
A Multiobjective Approach Based On Artificial Bee Colony For The Static Routing And Wavelength Assignment Problem
Low Power Consumption Security Platform For Industrial Communications Using An Mpsoc
A Multiobjective Approach Based On Artificial Bee Colony For The Static Routing And Wavelength Assignment Problem
Solving The Location Areas Scheme In Realistic Networks By Using A Multi-Objective Algorithm
A Multiobjective Approach Based On Artificial Bee Colony For The Static Routing And Wavelength Assignment Problem
Solving The Location Areas Scheme In Realistic Networks By Using A Multi-Objective Algorithm
Swarm Optimisation Algorithms Applied To Large Balanced Communication Networks
Solving The Location Areas Scheme In Realistic Networks By Using A Multi-Objective Algorithm
Swarm Optimisation Algorithms Applied To Large Balanced Communication Networks
Comparing Multiobjective Swarm Intelligence Metaheuristics For Dna Motif Discovery
Swarm Optimisation Algorithms Applied To Large Balanced Communication Networks
Comparing Multiobjective Swarm Intelligence Metaheuristics For Dna Motif Discovery
A Trajectory Algorithm To Solve The Relay Node Placement Problem In Wireless Sensor Networks
Comparing Multiobjective Swarm Intelligence Metaheuristics For Dna Motif Discovery
A Trajectory Algorithm To Solve The Relay Node Placement Problem In Wireless Sensor Networks
A Parallel Evolutionary Approach To Solve The Relay Node Placement Problem In Wireless Sensor Networks
A Trajectory Algorithm To Solve The Relay Node Placement Problem In Wireless Sensor Networks
A Parallel Evolutionary Approach To Solve The Relay Node Placement Problem In Wireless Sensor Networks
Moea/d For Traffic Grooming In Wdm Optical Networks
A Parallel Evolutionary Approach To Solve The Relay Node Placement Problem In Wireless Sensor Networks
Moea/d For Traffic Grooming In Wdm Optical Networks
Applying Moeas To Solve The Static Routing And Wavelength Assignment Problem In Optical Wdm Networks
Moea/d For Traffic Grooming In Wdm Optical Networks
Applying Moeas To Solve The Static Routing And Wavelength Assignment Problem In Optical Wdm Networks
A Multiobjective Approach Based On The Law Of Gravity And Mass Interactions For Optimizing Networks
Applying Moeas To Solve The Static Routing And Wavelength Assignment Problem In Optical Wdm Networks
A Multiobjective Approach Based On The Law Of Gravity And Mass Interactions For Optimizing Networks
A Parallel Two-Level Multiobjective Artificial Bee Colony Approach For Traffic Grooming
A Multiobjective Approach Based On The Law Of Gravity And Mass Interactions For Optimizing Networks
A Parallel Two-Level Multiobjective Artificial Bee Colony Approach For Traffic Grooming
Routing Low-Speed Traffic Requests Onto High-Speed Lightpaths By Using A Multiobjective Firefly Algorithm
A Parallel Two-Level Multiobjective Artificial Bee Colony Approach For Traffic Grooming
Routing Low-Speed Traffic Requests Onto High-Speed Lightpaths By Using A Multiobjective Firefly Algorithm
Multiobjective Metaheuristics For Traffic Grooming In Optical Networks
Routing Low-Speed Traffic Requests Onto High-Speed Lightpaths By Using A Multiobjective Firefly Algorithm
Multiobjective Metaheuristics For Traffic Grooming In Optical Networks
Simulated Annealing For Real-Time Vertical-Handoff In Wireless Networks
Multiobjective Metaheuristics For Traffic Grooming In Optical Networks
Simulated Annealing For Real-Time Vertical-Handoff In Wireless Networks
Solución Auto-Adaptativa Para Selección Eficiente De Recursos En Entornos Grid. Aplicando Inteligencia Colectiva
Simulated Annealing For Real-Time Vertical-Handoff In Wireless Networks
Solución Auto-Adaptativa Para Selección Eficiente De Recursos En Entornos Grid. Aplicando Inteligencia Colectiva
Paralelizando Una Aproximación Multiobjetivo Y Bioinspirada Para Filogenética Usando Esquemas Híbridos Mpi/openmp
Solución Auto-Adaptativa Para Selección Eficiente De Recursos En Entornos Grid. Aplicando Inteligencia Colectiva
Paralelizando Una Aproximación Multiobjetivo Y Bioinspirada Para Filogenética Usando Esquemas Híbridos Mpi/openmp
A Statistical Agreement-Based Approach For Difference Testing
Paralelizando Una Aproximación Multiobjetivo Y Bioinspirada Para Filogenética Usando Esquemas Híbridos Mpi/openmp
A Statistical Agreement-Based Approach For Difference Testing
A Multiobjective Swarm Intelligence Approach Based On Artificial Bee Colony For Reliable Dna Sequence Design
A Statistical Agreement-Based Approach For Difference Testing
A Multiobjective Swarm Intelligence Approach Based On Artificial Bee Colony For Reliable Dna Sequence Design
Dna Base-Code Generation For Reliable Computing By Using Standard Multi-Objective Evolutionary Algorithms
A Multiobjective Swarm Intelligence Approach Based On Artificial Bee Colony For Reliable Dna Sequence Design
Dna Base-Code Generation For Reliable Computing By Using Standard Multi-Objective Evolutionary Algorithms
Dna Base-Code Generation For Bio-Molecular Computing By Using A Multiobjective Approach Based On Spea2
Dna Base-Code Generation For Reliable Computing By Using Standard Multi-Objective Evolutionary Algorithms
Dna Base-Code Generation For Bio-Molecular Computing By Using A Multiobjective Approach Based On Spea2
A Multiobjective Sfla-Based Technique For Predicting Motifs In Dna Sequences
Dna Base-Code Generation For Bio-Molecular Computing By Using A Multiobjective Approach Based On Spea2
A Multiobjective Sfla-Based Technique For Predicting Motifs In Dna Sequences
An Efficient And Self-Adaptive Model Based On Scatter Search: Solving The Grid Resources Selection Problem
A Multiobjective Sfla-Based Technique For Predicting Motifs In Dna Sequences
An Efficient And Self-Adaptive Model Based On Scatter Search: Solving The Grid Resources Selection Problem
Design Space Exploration Of Embedded Systems: A View From Diverse Domains
An Efficient And Self-Adaptive Model Based On Scatter Search: Solving The Grid Resources Selection Problem
Design Space Exploration Of Embedded Systems: A View From Diverse Domains
Energy-Aware Design Space Exploration Of Embedded Systems
Design Space Exploration Of Embedded Systems: A View From Diverse Domains
Energy-Aware Design Space Exploration Of Embedded Systems
Parallelizing A Hybrid Multiobjective Differential Evolution For Identifying Cis-Regulatory Elements
Energy-Aware Design Space Exploration Of Embedded Systems
Parallelizing A Hybrid Multiobjective Differential Evolution For Identifying Cis-Regulatory Elements
Parallelizing A Multiobjective Swarm Intelligence Approach To Phylogenetics Using Hybrid Mpi/openmp Schemes
Parallelizing A Hybrid Multiobjective Differential Evolution For Identifying Cis-Regulatory Elements
Parallelizing A Multiobjective Swarm Intelligence Approach To Phylogenetics Using Hybrid Mpi/openmp Schemes
Distributed And Asynchronous Solver For Large Cpu Intensive Problems
Parallelizing A Multiobjective Swarm Intelligence Approach To Phylogenetics Using Hybrid Mpi/openmp Schemes
Distributed And Asynchronous Solver For Large Cpu Intensive Problems
Applying A Multiobjective Metaheuristic Inspired By Honey Bees To Phylogenetic Inference
Distributed And Asynchronous Solver For Large Cpu Intensive Problems
Applying A Multiobjective Metaheuristic Inspired By Honey Bees To Phylogenetic Inference
Multi-Objective Grid Scheduling
Applying A Multiobjective Metaheuristic Inspired By Honey Bees To Phylogenetic Inference
Multi-Objective Grid Scheduling
The Small-World Phenomenon Applied To A Self-Adaptive Resources Selection Model
Multi-Objective Grid Scheduling
The Small-World Phenomenon Applied To A Self-Adaptive Resources Selection Model
Stellarator Optimization Under Several Criteria Using Metaheuristics
The Small-World Phenomenon Applied To A Self-Adaptive Resources Selection Model
Stellarator Optimization Under Several Criteria Using Metaheuristics
Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics): Preface
Stellarator Optimization Under Several Criteria Using Metaheuristics
Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics): Preface
A New Version Of The Multiobjective Artificial Bee Colony Algorithm For Optimizing The Location Areas Planning In A Realistic Network
Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics): Preface
A New Version Of The Multiobjective Artificial Bee Colony Algorithm For Optimizing The Location Areas Planning In A Realistic Network
A Parallel Cooperative Team Of Multiobjective Evolutionary Algorithms For Motif Discovery
A New Version Of The Multiobjective Artificial Bee Colony Algorithm For Optimizing The Location Areas Planning In A Realistic Network
A Parallel Cooperative Team Of Multiobjective Evolutionary Algorithms For Motif Discovery
Concurrent Cpu-Gpu Code Optimization: The Two-Point Angular Correlation Function As Case Study
A Parallel Cooperative Team Of Multiobjective Evolutionary Algorithms For Motif Discovery
Concurrent Cpu-Gpu Code Optimization: The Two-Point Angular Correlation Function As Case Study
The Artificial Bee Colony Algorithm Applied To A Self-Adaptive Grid Resources Selection Model
Concurrent Cpu-Gpu Code Optimization: The Two-Point Angular Correlation Function As Case Study
The Artificial Bee Colony Algorithm Applied To A Self-Adaptive Grid Resources Selection Model
Metaoptimization Of Differential Evolution By Using Productions Of Low-Number Of Cycles: The Fitting Of Rotation Curves Of Spiral Galaxies As Case Study
The Artificial Bee Colony Algorithm Applied To A Self-Adaptive Grid Resources Selection Model
Metaoptimization Of Differential Evolution By Using Productions Of Low-Number Of Cycles: The Fitting Of Rotation Curves Of Spiral Galaxies As Case Study
Analysing The Scalability Of Multiobjective Evolutionary Algorithms When Solving The Motif Discovery Problem
Metaoptimization Of Differential Evolution By Using Productions Of Low-Number Of Cycles: The Fitting Of Rotation Curves Of Spiral Galaxies As Case Study
Analysing The Scalability Of Multiobjective Evolutionary Algorithms When Solving The Motif Discovery Problem
A Comparative Study On Distance Methods Applied To A Multiobjective Firefly Algorithm For Phylogenetic Inference
Analysing The Scalability Of Multiobjective Evolutionary Algorithms When Solving The Motif Discovery Problem
A Comparative Study On Distance Methods Applied To A Multiobjective Firefly Algorithm For Phylogenetic Inference
Designing A Novel Hybrid Swarm Based Multiobjective Evolutionary Algorithm For Finding Dna Motifs
A Comparative Study On Distance Methods Applied To A Multiobjective Firefly Algorithm For Phylogenetic Inference
Designing A Novel Hybrid Swarm Based Multiobjective Evolutionary Algorithm For Finding Dna Motifs
Hybrid Multiobjective Artificial Bee Colony With Differential Evolution Applied To Motif Finding
Designing A Novel Hybrid Swarm Based Multiobjective Evolutionary Algorithm For Finding Dna Motifs
Hybrid Multiobjective Artificial Bee Colony With Differential Evolution Applied To Motif Finding
A Multiobjective Proposal Based On The Firefly Algorithm For Inferring Phylogenies
Hybrid Multiobjective Artificial Bee Colony With Differential Evolution Applied To Motif Finding
A Multiobjective Proposal Based On The Firefly Algorithm For Inferring Phylogenies
Meta-Schedulers For Grid Computing Based On Multi-Objective Swarm Algorithms
A Multiobjective Proposal Based On The Firefly Algorithm For Inferring Phylogenies
Meta-Schedulers For Grid Computing Based On Multi-Objective Swarm Algorithms
A Preferential Attachment Model For Efficient Resources Selection In Distributed Computing Environments
Meta-Schedulers For Grid Computing Based On Multi-Objective Swarm Algorithms
A Preferential Attachment Model For Efficient Resources Selection In Distributed Computing Environments
A Multi-Objective Proposal Based On Firefly Behaviour For Green Scheduling In Grid Systems
A Preferential Attachment Model For Efficient Resources Selection In Distributed Computing Environments
A Multi-Objective Proposal Based On Firefly Behaviour For Green Scheduling In Grid Systems
Optimizing The Location Areas Planning In The Sumatra Network With An Adaptation Of The Spea2 Algorithm
A Multi-Objective Proposal Based On Firefly Behaviour For Green Scheduling In Grid Systems
Optimizing The Location Areas Planning In The Sumatra Network With An Adaptation Of The Spea2 Algorithm
A Parallel Multiobjective Algorithm Inspired By Fireflies For Inferring Evolutionary Trees On Multicore Machines
Optimizing The Location Areas Planning In The Sumatra Network With An Adaptation Of The Spea2 Algorithm
A Parallel Multiobjective Algorithm Inspired By Fireflies For Inferring Evolutionary Trees On Multicore Machines
Computer-Aided Diagnosis System: A Bayesian Hybrid Classification Method
A Parallel Multiobjective Algorithm Inspired By Fireflies For Inferring Evolutionary Trees On Multicore Machines
Computer-Aided Diagnosis System: A Bayesian Hybrid Classification Method
Solving The Location Areas Problem With Strength Pareto Evolutionary Algorithm
Computer-Aided Diagnosis System: A Bayesian Hybrid Classification Method
Solving The Location Areas Problem With Strength Pareto Evolutionary Algorithm
Bayesian Supervised Image Classification Based On A Pairwise Comparison Method
Solving The Location Areas Problem With Strength Pareto Evolutionary Algorithm
Bayesian Supervised Image Classification Based On A Pairwise Comparison Method
Mo-Abc/de-Multiobjective Artificial Bee Colony With Differential Evolution For Unconstrained Multiobjective Optimization
Bayesian Supervised Image Classification Based On A Pairwise Comparison Method
Mo-Abc/de-Multiobjective Artificial Bee Colony With Differential Evolution For Unconstrained Multiobjective Optimization
Stellarator Optimization Using A Distributed Swarm Intelligence-Based Algorithm
Mo-Abc/de-Multiobjective Artificial Bee Colony With Differential Evolution For Unconstrained Multiobjective Optimization
Stellarator Optimization Using A Distributed Swarm Intelligence-Based Algorithm
A Comparative Study On Multiobjective Swarm Intelligence For The Routing And Wavelength Assignment Problem
Stellarator Optimization Using A Distributed Swarm Intelligence-Based Algorithm
A Comparative Study On Multiobjective Swarm Intelligence For The Routing And Wavelength Assignment Problem
A Multi-Objective Approach To Solve The Location Areas Problem
A Comparative Study On Multiobjective Swarm Intelligence For The Routing And Wavelength Assignment Problem
A Multi-Objective Approach To Solve The Location Areas Problem
Comparing Different Operators And Models To Improve A Multiobjective Artificial Bee Colony Algorithm For Inferring Phylogenies
A Multi-Objective Approach To Solve The Location Areas Problem
Comparing Different Operators And Models To Improve A Multiobjective Artificial Bee Colony Algorithm For Inferring Phylogenies
Evaluating The Performance Of A Parallel Multiobjective Artificial Bee Colony Algorithm For Inferring Phylogenies On Multicore Architectures
Comparing Different Operators And Models To Improve A Multiobjective Artificial Bee Colony Algorithm For Inferring Phylogenies
Evaluating The Performance Of A Parallel Multiobjective Artificial Bee Colony Algorithm For Inferring Phylogenies On Multicore Architectures
Evolutionary Swarm Based Algorithms To Minimise The Link Cost In Communication Networks
Evaluating The Performance Of A Parallel Multiobjective Artificial Bee Colony Algorithm For Inferring Phylogenies On Multicore Architectures
Evolutionary Swarm Based Algorithms To Minimise The Link Cost In Communication Networks
Relay Node Positioning In Wireless Sensor Networks By Means Of Evolutionary Techniques
Evolutionary Swarm Based Algorithms To Minimise The Link Cost In Communication Networks
Relay Node Positioning In Wireless Sensor Networks By Means Of Evolutionary Techniques
Optimizing Energy Consumption In Heterogeneous Wireless Sensor Networks By Means Of Evolutionary Algorithms
Relay Node Positioning In Wireless Sensor Networks By Means Of Evolutionary Techniques
Optimizing Energy Consumption In Heterogeneous Wireless Sensor Networks By Means Of Evolutionary Algorithms
Inferring Phylogenetic Trees Using A Multiobjective Artificial Bee Colony Algorithm
Optimizing Energy Consumption In Heterogeneous Wireless Sensor Networks By Means Of Evolutionary Algorithms
Inferring Phylogenetic Trees Using A Multiobjective Artificial Bee Colony Algorithm
Comparing Multiobjective Artificial Bee Colony Adaptations For Discovering Dna Motifs
Inferring Phylogenetic Trees Using A Multiobjective Artificial Bee Colony Algorithm
Comparing Multiobjective Artificial Bee Colony Adaptations For Discovering Dna Motifs
Multi-Objective Evolutionary Algorithms For Energy-Efficiency In Heterogeneous Wireless Sensor Networks
Comparing Multiobjective Artificial Bee Colony Adaptations For Discovering Dna Motifs
Multi-Objective Evolutionary Algorithms For Energy-Efficiency In Heterogeneous Wireless Sensor Networks
Advances In Sensors-Centric Microprocessors And System-On-Chip
Multi-Objective Evolutionary Algorithms For Energy-Efficiency In Heterogeneous Wireless Sensor Networks
Advances In Sensors-Centric Microprocessors And System-On-Chip
Solving Large-Scale Sonet Network Design Problems Using Bee-Inspired Algorithms
Advances In Sensors-Centric Microprocessors And System-On-Chip
Solving Large-Scale Sonet Network Design Problems Using Bee-Inspired Algorithms
Solving Sonet Problems Using A Hybrid Scatter Search Algorithm
Solving Large-Scale Sonet Network Design Problems Using Bee-Inspired Algorithms
Solving Sonet Problems Using A Hybrid Scatter Search Algorithm
Multiobjective Metaheuristics For Frequency Assignment Problem In Mobile Networks With Large-Scale Real-World Instances
Solving Sonet Problems Using A Hybrid Scatter Search Algorithm
Multiobjective Metaheuristics For Frequency Assignment Problem In Mobile Networks With Large-Scale Real-World Instances
Using A Multiobjective Openmp+mpi De For The Static Rwa Problem
Multiobjective Metaheuristics For Frequency Assignment Problem In Mobile Networks With Large-Scale Real-World Instances
Using A Multiobjective Openmp+mpi De For The Static Rwa Problem
Discovering Dna Motifs With A Parallel Shared Memory Differential Evolution
Using A Multiobjective Openmp+mpi De For The Static Rwa Problem
Discovering Dna Motifs With A Parallel Shared Memory Differential Evolution
Fast Decision Algorithms In Low-Power Embedded Processors For Quality-Of-Service Based Connectivity Of Mobile Sensors In Heterogeneous Wireless Sensor Networks
Discovering Dna Motifs With A Parallel Shared Memory Differential Evolution
Fast Decision Algorithms In Low-Power Embedded Processors For Quality-Of-Service Based Connectivity Of Mobile Sensors In Heterogeneous Wireless Sensor Networks
High-Speed Reconfigurable Parallel System To Design Good Error Correcting Codes In Communications
Fast Decision Algorithms In Low-Power Embedded Processors For Quality-Of-Service Based Connectivity Of Mobile Sensors In Heterogeneous Wireless Sensor Networks
High-Speed Reconfigurable Parallel System To Design Good Error Correcting Codes In Communications
Predicting Dna Motifs By Using Evolutionary Multiobjective Optimization
High-Speed Reconfigurable Parallel System To Design Good Error Correcting Codes In Communications
Predicting Dna Motifs By Using Evolutionary Multiobjective Optimization
Solving The Reporting Cells Problem By Using A Parallel Team Of Evolutionary Algorithms
Predicting Dna Motifs By Using Evolutionary Multiobjective Optimization
Solving The Reporting Cells Problem By Using A Parallel Team Of Evolutionary Algorithms
Dual Microblaze Rekeying Processor For Group Key Management
Solving The Reporting Cells Problem By Using A Parallel Team Of Evolutionary Algorithms
Dual Microblaze Rekeying Processor For Group Key Management
Dna Sequence Design For Reliable Dna Computing By Using A Multiobjective Approach
Dual Microblaze Rekeying Processor For Group Key Management
Dna Sequence Design For Reliable Dna Computing By Using A Multiobjective Approach
A Parallel Multi-Core Team Of Multiobjective Evolutionary Algorithms To Discover Dna Motifs
Dna Sequence Design For Reliable Dna Computing By Using A Multiobjective Approach
A Parallel Multi-Core Team Of Multiobjective Evolutionary Algorithms To Discover Dna Motifs
Nature-Inspired Algorithms Applied To An Efficient And Self-Adaptive Resources Selection Model For Grid Applications
A Parallel Multi-Core Team Of Multiobjective Evolutionary Algorithms To Discover Dna Motifs
Nature-Inspired Algorithms Applied To An Efficient And Self-Adaptive Resources Selection Model For Grid Applications
Multiobjective Optimization Comparison - Moswo Vs Mogsa - For Solving The Job Scheduling Problem In Grid Environments
Nature-Inspired Algorithms Applied To An Efficient And Self-Adaptive Resources Selection Model For Grid Applications
Multiobjective Optimization Comparison - Moswo Vs Mogsa - For Solving The Job Scheduling Problem In Grid Environments
Multi-Objective Firefly Algorithm For Energy Optimization In Grid Environments
Multiobjective Optimization Comparison - Moswo Vs Mogsa - For Solving The Job Scheduling Problem In Grid Environments
Multi-Objective Firefly Algorithm For Energy Optimization In Grid Environments
Small-World Optimization Applied To Job Scheduling On Grid Environments From A Multi-Objective Perspective
Multi-Objective Firefly Algorithm For Energy Optimization In Grid Environments
Small-World Optimization Applied To Job Scheduling On Grid Environments From A Multi-Objective Perspective
Real-World Problem For Checking The Sensitiveness Of Evolutionary Algorithms To The Choice Of The Random Number Generator
Small-World Optimization Applied To Job Scheduling On Grid Environments From A Multi-Objective Perspective
Real-World Problem For Checking The Sensitiveness Of Evolutionary Algorithms To The Choice Of The Random Number Generator
Gpu-Based Evaluation To Accelerate Particle Swarm Algorithm
Real-World Problem For Checking The Sensitiveness Of Evolutionary Algorithms To The Choice Of The Random Number Generator
Gpu-Based Evaluation To Accelerate Particle Swarm Algorithm
Adjustment Of Observational Data To Specific Functional Forms Using A Particle Swarm Algorithm And Differential Evolution: Rotational Curves Of A Spiral Galaxy As Case Study
Gpu-Based Evaluation To Accelerate Particle Swarm Algorithm
Adjustment Of Observational Data To Specific Functional Forms Using A Particle Swarm Algorithm And Differential Evolution: Rotational Curves Of A Spiral Galaxy As Case Study
A Parallel Multiobjective Artificial Bee Colony Algorithm For Dealing With The Traffic Grooming Problem
Adjustment Of Observational Data To Specific Functional Forms Using A Particle Swarm Algorithm And Differential Evolution: Rotational Curves Of A Spiral Galaxy As Case Study
A Parallel Multiobjective Artificial Bee Colony Algorithm For Dealing With The Traffic Grooming Problem
A Bayesian Approach To Aggregate Experts' Initial Information
A Parallel Multiobjective Artificial Bee Colony Algorithm For Dealing With The Traffic Grooming Problem
A Bayesian Approach To Aggregate Experts' Initial Information
Log-Linear Pool To Combine Prior Distributions: A Suggestion For A Calibration-Based Approach
A Bayesian Approach To Aggregate Experts' Initial Information
Log-Linear Pool To Combine Prior Distributions: A Suggestion For A Calibration-Based Approach
Multiobjective Teaching-Learning-Based Optimization (Mo-Tlbo) For Motif Finding
Log-Linear Pool To Combine Prior Distributions: A Suggestion For A Calibration-Based Approach
Multiobjective Teaching-Learning-Based Optimization (Mo-Tlbo) For Motif Finding
A Multi-Objective Network Design For Real Traffic Models Of The Internet By Means Of A Parallel Framework For Solving Np-Hard Problems
Multiobjective Teaching-Learning-Based Optimization (Mo-Tlbo) For Motif Finding
A Multi-Objective Network Design For Real Traffic Models Of The Internet By Means Of A Parallel Framework For Solving Np-Hard Problems
Artificial Bee Colony Algorithm Applied To Wimax Network Planning Problem
A Multi-Objective Network Design For Real Traffic Models Of The Internet By Means Of A Parallel Framework For Solving Np-Hard Problems
Artificial Bee Colony Algorithm Applied To Wimax Network Planning Problem
Genetic And Local Search Algorithms Applied To Balanced Communication Networks
Artificial Bee Colony Algorithm Applied To Wimax Network Planning Problem
Genetic And Local Search Algorithms Applied To Balanced Communication Networks
Using A Hybrid Honey Bees Mating Optimisation Algorithm For Solving Sonet/sdh Design Problems
Genetic And Local Search Algorithms Applied To Balanced Communication Networks
Using A Hybrid Honey Bees Mating Optimisation Algorithm For Solving Sonet/sdh Design Problems
Optimizing A Realistic Large-Scale Frequency Assignment Problem Using A New Parallel Evolutionary Approach
Using A Hybrid Honey Bees Mating Optimisation Algorithm For Solving Sonet/sdh Design Problems
Optimizing A Realistic Large-Scale Frequency Assignment Problem Using A New Parallel Evolutionary Approach
Efficient Load Balancing Using The Bees Algorithm
Optimizing A Realistic Large-Scale Frequency Assignment Problem Using A New Parallel Evolutionary Approach
Efficient Load Balancing Using The Bees Algorithm
Applying A Multiobjective Gravitational Search Algorithm (Mo-Gsa) To Discover Motifs
Efficient Load Balancing Using The Bees Algorithm
Applying A Multiobjective Gravitational Search Algorithm (Mo-Gsa) To Discover Motifs
Tackling The Static Rwa Problem By Using A Multiobjective Artificial Bee Colony Algorithm
Applying A Multiobjective Gravitational Search Algorithm (Mo-Gsa) To Discover Motifs
Tackling The Static Rwa Problem By Using A Multiobjective Artificial Bee Colony Algorithm
A Multiobjective Gravitational Search Algorithm Applied To The Static Routing And Wavelength Assignment Problem
Tackling The Static Rwa Problem By Using A Multiobjective Artificial Bee Colony Algorithm
A Multiobjective Gravitational Search Algorithm Applied To The Static Routing And Wavelength Assignment Problem
Finding Motifs In Dna Sequences Applying A Multiobjective Artificial Bee Colony (Moabc) Algorithm
A Multiobjective Gravitational Search Algorithm Applied To The Static Routing And Wavelength Assignment Problem
Finding Motifs In Dna Sequences Applying A Multiobjective Artificial Bee Colony (Moabc) Algorithm
Optimization Algorithms For Large-Scale Real-World Instances Of The Frequency Assignment Problem
Finding Motifs In Dna Sequences Applying A Multiobjective Artificial Bee Colony (Moabc) Algorithm
Optimization Algorithms For Large-Scale Real-World Instances Of The Frequency Assignment Problem
Ant Colonies To Assign Terminals To Concentrators
Optimization Algorithms For Large-Scale Real-World Instances Of The Frequency Assignment Problem
Ant Colonies To Assign Terminals To Concentrators
Comparative Analysis Of A Hybrid De Algorithm With The Vns Algorithm And Its Variation Svns To Solve A Real-World Frequency Assignment Problem
Ant Colonies To Assign Terminals To Concentrators
Comparative Analysis Of A Hybrid De Algorithm With The Vns Algorithm And Its Variation Svns To Solve A Real-World Frequency Assignment Problem
Parametric Approximation Of Functions Using Genetic Algorithms: An Example With A Logistic Curve
Comparative Analysis Of A Hybrid De Algorithm With The Vns Algorithm And Its Variation Svns To Solve A Real-World Frequency Assignment Problem
Parametric Approximation Of Functions Using Genetic Algorithms: An Example With A Logistic Curve
Solving Ring Loading Problems Using Bio-Inspired Algorithms
Parametric Approximation Of Functions Using Genetic Algorithms: An Example With A Logistic Curve
Solving Ring Loading Problems Using Bio-Inspired Algorithms
Accelerating Floating-Point Fitness Functions In Evolutionary Algorithms: A Fpga-Cpu-Gpu Performance Comparison
Solving Ring Loading Problems Using Bio-Inspired Algorithms
Accelerating Floating-Point Fitness Functions In Evolutionary Algorithms: A Fpga-Cpu-Gpu Performance Comparison
Automatic Texture Characterization Using Gabor Filters And Neurofuzzy Computing
Accelerating Floating-Point Fitness Functions In Evolutionary Algorithms: A Fpga-Cpu-Gpu Performance Comparison
Automatic Texture Characterization Using Gabor Filters And Neurofuzzy Computing
Differential Evolution For Solving The Mobile Location Management
Automatic Texture Characterization Using Gabor Filters And Neurofuzzy Computing
Differential Evolution For Solving The Mobile Location Management
Distributed Bees Foraging-Based Algorithm For Large-Scale Problems
Differential Evolution For Solving The Mobile Location Management
Distributed Bees Foraging-Based Algorithm For Large-Scale Problems
Evaluation Of Multiobjective Swarm Algorithms For Grid Scheduling
Distributed Bees Foraging-Based Algorithm For Large-Scale Problems
Evaluation Of Multiobjective Swarm Algorithms For Grid Scheduling
On The Scalability Of Multi-Objective Metaheuristics For The Software Scheduling Problem
Evaluation Of Multiobjective Swarm Algorithms For Grid Scheduling
On The Scalability Of Multi-Objective Metaheuristics For The Software Scheduling Problem
Multi-Objective Artificial Bee Colony For Scheduling In Grid Environments
On The Scalability Of Multi-Objective Metaheuristics For The Software Scheduling Problem
Multi-Objective Artificial Bee Colony For Scheduling In Grid Environments
Self-Adaptive Deployment Of Parametric Sweep Applications Through A Complex Networks Perspective
Multi-Objective Artificial Bee Colony For Scheduling In Grid Environments
Self-Adaptive Deployment Of Parametric Sweep Applications Through A Complex Networks Perspective
Sensitiveness Of Evolutionary Algorithms To The Random Number Generator
Self-Adaptive Deployment Of Parametric Sweep Applications Through A Complex Networks Perspective
Sensitiveness Of Evolutionary Algorithms To The Random Number Generator
Effect Of The Block Occupancy In Gpgpu Over The Performance Of Particle Swarm Algorithm
Sensitiveness Of Evolutionary Algorithms To The Random Number Generator
Effect Of The Block Occupancy In Gpgpu Over The Performance Of Particle Swarm Algorithm
Distributed And Asynchronous Bees Algorithm Applied To Nuclear Fusion Research
Effect Of The Block Occupancy In Gpgpu Over The Performance Of Particle Swarm Algorithm
Distributed And Asynchronous Bees Algorithm Applied To Nuclear Fusion Research
Accelerating Particle Swarm Algorithm With Gpgpu
Distributed And Asynchronous Bees Algorithm Applied To Nuclear Fusion Research
Accelerating Particle Swarm Algorithm With Gpgpu
Studying Different Heuristic Searches To Solve A Real-World Frequency Assignment Problem
Accelerating Particle Swarm Algorithm With Gpgpu
Studying Different Heuristic Searches To Solve A Real-World Frequency Assignment Problem
Parallel Cellular Automata On Chip
Studying Different Heuristic Searches To Solve A Real-World Frequency Assignment Problem
Parallel Cellular Automata On Chip
Fast Face Detector And Recognition For Biometrical Security Systems
Parallel Cellular Automata On Chip
Fast Face Detector And Recognition For Biometrical Security Systems
Tuning The Pbil Algorithm To Solve A Real-World Fap Problem
Fast Face Detector And Recognition For Biometrical Security Systems
Tuning The Pbil Algorithm To Solve A Real-World Fap Problem
An Evolutionary Approach For Performing Multiple Sequence Alignment
Tuning The Pbil Algorithm To Solve A Real-World Fap Problem
An Evolutionary Approach For Performing Multiple Sequence Alignment
Efficient Load Balancing For A Resilient Packet Ring Using Artificial Bee Colony
An Evolutionary Approach For Performing Multiple Sequence Alignment
Efficient Load Balancing For A Resilient Packet Ring Using Artificial Bee Colony
Alineaga-A Genetic Algorithm With Local Search Optimization For Multiple Sequence Alignment
Efficient Load Balancing For A Resilient Packet Ring Using Artificial Bee Colony
Alineaga-A Genetic Algorithm With Local Search Optimization For Multiple Sequence Alignment
Detecting Skin In Face Recognition Systems: A Colour Spaces Study
Alineaga-A Genetic Algorithm With Local Search Optimization For Multiple Sequence Alignment
Detecting Skin In Face Recognition Systems: A Colour Spaces Study
A New Methodology To Implement The Aes Algorithm Using Partial And Dynamic Reconfiguration
Detecting Skin In Face Recognition Systems: A Colour Spaces Study
A New Methodology To Implement The Aes Algorithm Using Partial And Dynamic Reconfiguration
A Scatter Search Based Approach To Solve The Reporting Cells Problem
A New Methodology To Implement The Aes Algorithm Using Partial And Dynamic Reconfiguration
A Scatter Search Based Approach To Solve The Reporting Cells Problem
A Multiobjective Variable Neighborhood Search For Solving The Motif Discovery Problem
A Scatter Search Based Approach To Solve The Reporting Cells Problem
A Multiobjective Variable Neighborhood Search For Solving The Motif Discovery Problem
A Parallel Cooperative Evolutionary Strategy For Solving The Reporting Cells Problem
A Multiobjective Variable Neighborhood Search For Solving The Motif Discovery Problem
A Parallel Cooperative Evolutionary Strategy For Solving The Reporting Cells Problem
Solving The Routing And Wavelength Assignment Problem Inwdm Networks By Using A Multiobjective Variable Neighborhood Search Algorithm
A Parallel Cooperative Evolutionary Strategy For Solving The Reporting Cells Problem
Solving The Routing And Wavelength Assignment Problem Inwdm Networks By Using A Multiobjective Variable Neighborhood Search Algorithm
A Hybrid De Algorithm With A Multiple Strategy For Solving The Terminal Assignment Problem
Solving The Routing And Wavelength Assignment Problem Inwdm Networks By Using A Multiobjective Variable Neighborhood Search Algorithm
A Hybrid De Algorithm With A Multiple Strategy For Solving The Terminal Assignment Problem
A Hybrid Ant Colony Optimization Algorithm For Solving The Ring Arc-Loading Problem
A Hybrid De Algorithm With A Multiple Strategy For Solving The Terminal Assignment Problem
A Hybrid Ant Colony Optimization Algorithm For Solving The Ring Arc-Loading Problem
Swarm Intelligence, Scatter Search And Genetic Algorithm To Tackle A Realistic Frequency Assignment Problem
A Hybrid Ant Colony Optimization Algorithm For Solving The Ring Arc-Loading Problem
Swarm Intelligence, Scatter Search And Genetic Algorithm To Tackle A Realistic Frequency Assignment Problem
Using A Parallel Team Of Multiobjective Evolutionary Algorithms To Solve The Motif Discovery Problem
Swarm Intelligence, Scatter Search And Genetic Algorithm To Tackle A Realistic Frequency Assignment Problem
Using A Parallel Team Of Multiobjective Evolutionary Algorithms To Solve The Motif Discovery Problem
Improving Optical Wdm Networks By Using A Multi-Core Version Of Differential Evolution With Pareto Tournaments
Using A Parallel Team Of Multiobjective Evolutionary Algorithms To Solve The Motif Discovery Problem
Improving Optical Wdm Networks By Using A Multi-Core Version Of Differential Evolution With Pareto Tournaments
Application Of Differential Evolution To A Multi-Objective Real-World Frequency Assignment Problem
Improving Optical Wdm Networks By Using A Multi-Core Version Of Differential Evolution With Pareto Tournaments
Application Of Differential Evolution To A Multi-Objective Real-World Frequency Assignment Problem
A Hybrid Scatter Search Algorithm To Assign Terminals To Concentrators
Application Of Differential Evolution To A Multi-Objective Real-World Frequency Assignment Problem
A Hybrid Scatter Search Algorithm To Assign Terminals To Concentrators
Hybrid Population-Based Incremental Learning To Assign Terminals To Concentrators
A Hybrid Scatter Search Algorithm To Assign Terminals To Concentrators
Hybrid Population-Based Incremental Learning To Assign Terminals To Concentrators
Solving The Ring Arc-Loading Problem Using A Hybrid Scatter Search Algorithm
Hybrid Population-Based Incremental Learning To Assign Terminals To Concentrators
Solving The Ring Arc-Loading Problem Using A Hybrid Scatter Search Algorithm
A Differential Evolution With Pareto Tournaments For Solving The Routing And Wavelength Assignment Problem In Wdm Networks
Solving The Ring Arc-Loading Problem Using A Hybrid Scatter Search Algorithm
A Differential Evolution With Pareto Tournaments For Solving The Routing And Wavelength Assignment Problem In Wdm Networks
Solving The Motif Discovery Problem By Using Differential Evolution With Pareto Tournaments
A Differential Evolution With Pareto Tournaments For Solving The Routing And Wavelength Assignment Problem In Wdm Networks
Solving The Motif Discovery Problem By Using Differential Evolution With Pareto Tournaments
Solving The Reporting Cells Problem Using A Scatter Search Based Algorithm
Solving The Motif Discovery Problem By Using Differential Evolution With Pareto Tournaments
Solving The Reporting Cells Problem Using A Scatter Search Based Algorithm
Hybrid Honey Bees Mating Optimisation Algorithm To Assign Terminals To Concentrators
Solving The Reporting Cells Problem Using A Scatter Search Based Algorithm
Hybrid Honey Bees Mating Optimisation Algorithm To Assign Terminals To Concentrators
A Hybrid Population-Based Incremental Learning Algorithm For Load Balancing In Rpr
Hybrid Honey Bees Mating Optimisation Algorithm To Assign Terminals To Concentrators
A Hybrid Population-Based Incremental Learning Algorithm For Load Balancing In Rpr
Soft Computing, Genetic Algorithms And Engineering Problems: An Example Of Application To Minimize A Cantilever Wall Cost
A Hybrid Population-Based Incremental Learning Algorithm For Load Balancing In Rpr
Soft Computing, Genetic Algorithms And Engineering Problems: An Example Of Application To Minimize A Cantilever Wall Cost
A Discrete Differential Evolution Algorithm For Solving The Weighted Ring Arc Loading Problem
Soft Computing, Genetic Algorithms And Engineering Problems: An Example Of Application To Minimize A Cantilever Wall Cost
A Discrete Differential Evolution Algorithm For Solving The Weighted Ring Arc Loading Problem
Using The Bees Algorithm To Assign Terminals To Concentrators
A Discrete Differential Evolution Algorithm For Solving The Weighted Ring Arc Loading Problem
Using The Bees Algorithm To Assign Terminals To Concentrators
Optimizing The Dfcn Broadcast Protocol With A Parallel Cooperative Strategy Of Multi-Objective Evolutionary Algorithms
Using The Bees Algorithm To Assign Terminals To Concentrators
Optimizing The Dfcn Broadcast Protocol With A Parallel Cooperative Strategy Of Multi-Objective Evolutionary Algorithms
Improving The Industrial Classification Of Cork Stoppers By Using Image Processing And Neuro-Fuzzy Computing
Optimizing The Dfcn Broadcast Protocol With A Parallel Cooperative Strategy Of Multi-Objective Evolutionary Algorithms
Improving The Industrial Classification Of Cork Stoppers By Using Image Processing And Neuro-Fuzzy Computing
Discrete Differential Evolution Algorithm For Solving The Terminal Assignment Problem
Improving The Industrial Classification Of Cork Stoppers By Using Image Processing And Neuro-Fuzzy Computing
Discrete Differential Evolution Algorithm For Solving The Terminal Assignment Problem
Grid-Based Metaheuristics To Improve A Nuclear Fusion Device
Discrete Differential Evolution Algorithm For Solving The Terminal Assignment Problem
Grid-Based Metaheuristics To Improve A Nuclear Fusion Device
Scatter Search And Grid Computing To Improve Nuclear Fusion Devices
Grid-Based Metaheuristics To Improve A Nuclear Fusion Device
Scatter Search And Grid Computing To Improve Nuclear Fusion Devices
Artificial Bee Colony Inspired Algorithm Applied To Fusion Research In A Grid Computing Environment
Scatter Search And Grid Computing To Improve Nuclear Fusion Devices
Artificial Bee Colony Inspired Algorithm Applied To Fusion Research In A Grid Computing Environment
Empirical Study Of Performance Of Particle Swarm Optimization Algorithms Using Grid Computing
Artificial Bee Colony Inspired Algorithm Applied To Fusion Research In A Grid Computing Environment
Empirical Study Of Performance Of Particle Swarm Optimization Algorithms Using Grid Computing
Distributed And Asynchronous Bees Algorithm: An Efficient Model For Large Scale Problems Optimizations
Empirical Study Of Performance Of Particle Swarm Optimization Algorithms Using Grid Computing
Distributed And Asynchronous Bees Algorithm: An Efficient Model For Large Scale Problems Optimizations
Performance Improvement In Multipopulation Particle Swarm Algorithm
Distributed And Asynchronous Bees Algorithm: An Efficient Model For Large Scale Problems Optimizations
Performance Improvement In Multipopulation Particle Swarm Algorithm
New Approaches To Compute Bayes Factor In Finite Mixture Models
Performance Improvement In Multipopulation Particle Swarm Algorithm
New Approaches To Compute Bayes Factor In Finite Mixture Models
Merging Experts' Opinions: A Bayesian Hierarchical Model With Mixture Of Prior Distributions
New Approaches To Compute Bayes Factor In Finite Mixture Models
Merging Experts' Opinions: A Bayesian Hierarchical Model With Mixture Of Prior Distributions
A Note On The Prior Parameter Choice In Finite Mixture Models Of Distributions From Exponential Families
Merging Experts' Opinions: A Bayesian Hierarchical Model With Mixture Of Prior Distributions
A Note On The Prior Parameter Choice In Finite Mixture Models Of Distributions From Exponential Families
Solving The Ring Arc-Loading Problem Using A Hybrid Scatter Search Algorithm
A Note On The Prior Parameter Choice In Finite Mixture Models Of Distributions From Exponential Families
Solving The Ring Arc-Loading Problem Using A Hybrid Scatter Search Algorithm
Hybrid Population-Based Incremental Learning To Assign Terminals To Concentrators
Solving The Ring Arc-Loading Problem Using A Hybrid Scatter Search Algorithm
Hybrid Population-Based Incremental Learning To Assign Terminals To Concentrators
Stellarator Optimization Using Metaheuristics
Hybrid Population-Based Incremental Learning To Assign Terminals To Concentrators
Stellarator Optimization Using Metaheuristics
Solving A Realistic Location Area Problem Using Sumatra Networks With The Scatter Search Algorithm
Stellarator Optimization Using Metaheuristics
Solving A Realistic Location Area Problem Using Sumatra Networks With The Scatter Search Algorithm
Collaborative Project Based Learning For A Statistics Course
Solving A Realistic Location Area Problem Using Sumatra Networks With The Scatter Search Algorithm
Collaborative Project Based Learning For A Statistics Course
Applying Scatter Search To The Location Areas Problem
Collaborative Project Based Learning For A Statistics Course
Applying Scatter Search To The Location Areas Problem
Parameter Analysis For Differential Evolution With Pareto Tournaments In A Multiobjective Frequency Assignment Problem
Applying Scatter Search To The Location Areas Problem
Parameter Analysis For Differential Evolution With Pareto Tournaments In A Multiobjective Frequency Assignment Problem
Perceptually Relevant Pattern Recognition Applied To Cork Quality Detection
Parameter Analysis For Differential Evolution With Pareto Tournaments In A Multiobjective Frequency Assignment Problem
Perceptually Relevant Pattern Recognition Applied To Cork Quality Detection
Implementación Del Algoritmo Aes En Modo Cbc Usando Un Mpsoc
Perceptually Relevant Pattern Recognition Applied To Cork Quality Detection
Implementación Del Algoritmo Aes En Modo Cbc Usando Un Mpsoc
Rendimiento De Operadores De Computación Bio-Inspirada Mediante Procesadores Paralelos Basados En Fpga
Implementación Del Algoritmo Aes En Modo Cbc Usando Un Mpsoc
Rendimiento De Operadores De Computación Bio-Inspirada Mediante Procesadores Paralelos Basados En Fpga
Benchmarking A Wide Spectrum Of Metaheuristic Techniques For The Radio Network Design Problem
Rendimiento De Operadores De Computación Bio-Inspirada Mediante Procesadores Paralelos Basados En Fpga
Benchmarking A Wide Spectrum Of Metaheuristic Techniques For The Radio Network Design Problem
Solving A Realistic Fap Using Grasp And Grid Computing
Benchmarking A Wide Spectrum Of Metaheuristic Techniques For The Radio Network Design Problem
Solving A Realistic Fap Using Grasp And Grid Computing
Idea And Aes, Two Cryptographic Algorithms Implemented Using Partial And Dynamic Reconfiguration
Solving A Realistic Fap Using Grasp And Grid Computing
Idea And Aes, Two Cryptographic Algorithms Implemented Using Partial And Dynamic Reconfiguration
Parallel And Runtime Reconfigurable Implementation Of The Idea Algorithm
Idea And Aes, Two Cryptographic Algorithms Implemented Using Partial And Dynamic Reconfiguration
Parallel And Runtime Reconfigurable Implementation Of The Idea Algorithm
Solving The Terminal Assignment Problem Using A Local Search Genetic Algorithm
Parallel And Runtime Reconfigurable Implementation Of The Idea Algorithm
Solving The Terminal Assignment Problem Using A Local Search Genetic Algorithm
Solving The Ring Loading Problem Using Genetic Algorithms With Intelligent Multiple Operators
Solving The Terminal Assignment Problem Using A Local Search Genetic Algorithm
Solving The Ring Loading Problem Using Genetic Algorithms With Intelligent Multiple Operators
Performance Analysis Of Reconfigurable Clusters To Design Good Error Correcting Codes In Communications
Solving The Ring Loading Problem Using Genetic Algorithms With Intelligent Multiple Operators
Performance Analysis Of Reconfigurable Clusters To Design Good Error Correcting Codes In Communications
Optimizing Multiple Sequence Alignment By Improving Mutation Operators Of A Genetic Algorithm
Performance Analysis Of Reconfigurable Clusters To Design Good Error Correcting Codes In Communications
Optimizing Multiple Sequence Alignment By Improving Mutation Operators Of A Genetic Algorithm
Aplicación De Técnicas De Aprendizaje Colaborativo Basado En Proyectos A La Docencia De Estadística En Ciencias Veterinarias
Optimizing Multiple Sequence Alignment By Improving Mutation Operators Of A Genetic Algorithm
Aplicación De Técnicas De Aprendizaje Colaborativo Basado En Proyectos A La Docencia De Estadística En Ciencias Veterinarias
Análisis Bayesiano De Datos Mal Clasificados En Presencia De Covariables
Aplicación De Técnicas De Aprendizaje Colaborativo Basado En Proyectos A La Docencia De Estadística En Ciencias Veterinarias
Análisis Bayesiano De Datos Mal Clasificados En Presencia De Covariables
A Hybrid Ant Colony Optimization Algorithm For Solving The Terminal Assignment Problem
Análisis Bayesiano De Datos Mal Clasificados En Presencia De Covariables
A Hybrid Ant Colony Optimization Algorithm For Solving The Terminal Assignment Problem
Solving The Non-Split Weighted Ring Arc-Loading Problem In A Resilient Packet Ring Using Particle Swarm Optimization
A Hybrid Ant Colony Optimization Algorithm For Solving The Terminal Assignment Problem
Solving The Non-Split Weighted Ring Arc-Loading Problem In A Resilient Packet Ring Using Particle Swarm Optimization
Combinando Opiniones De Expertos Mediante Mixturas De Distribuciones A Priori
Solving The Non-Split Weighted Ring Arc-Loading Problem In A Resilient Packet Ring Using Particle Swarm Optimization
Combinando Opiniones De Expertos Mediante Mixturas De Distribuciones A Priori
Optimizing The Dfcn Broadcast Protocol With A Parallel Cooperative Strategy Of Multi-Objective Evolutionary Algorithms
Combinando Opiniones De Expertos Mediante Mixturas De Distribuciones A Priori
Optimizing The Dfcn Broadcast Protocol With A Parallel Cooperative Strategy Of Multi-Objective Evolutionary Algorithms
Solving A Real-World Fap Using The Scatter Search Metaheuristic
Optimizing The Dfcn Broadcast Protocol With A Parallel Cooperative Strategy Of Multi-Objective Evolutionary Algorithms
Solving A Real-World Fap Using The Scatter Search Metaheuristic
Inference On Exponential Families With Mixture Of Prior Distributions
Solving A Real-World Fap Using The Scatter Search Metaheuristic
Inference On Exponential Families With Mixture Of Prior Distributions
The Radio Network Design Optimization Problem Benchmarking And State-Of-The-Art Solvers
Inference On Exponential Families With Mixture Of Prior Distributions
The Radio Network Design Optimization Problem Benchmarking And State-Of-The-Art Solvers
Local Parametric Sensitivity For Mixture Models Of Lifetime Distributions
The Radio Network Design Optimization Problem Benchmarking And State-Of-The-Art Solvers
Local Parametric Sensitivity For Mixture Models Of Lifetime Distributions
Bayesian Analysis Of A Generalized Lognormal Distribution
Local Parametric Sensitivity For Mixture Models Of Lifetime Distributions
Bayesian Analysis Of A Generalized Lognormal Distribution
Bayesian Robustness For Decision Making Problems: Applications In Medical Contexts
Bayesian Analysis Of A Generalized Lognormal Distribution
Bayesian Robustness For Decision Making Problems: Applications In Medical Contexts
Grid-Oriented Scatter Search Algorithm
Bayesian Robustness For Decision Making Problems: Applications In Medical Contexts
Grid-Oriented Scatter Search Algorithm
Grid-Enabled Mutation-Based Genetic Algorithm To Optimise Nuclear Fusion Devices
Grid-Oriented Scatter Search Algorithm
Grid-Enabled Mutation-Based Genetic Algorithm To Optimise Nuclear Fusion Devices
Exploration Of The Conjecture Of Bateman Using Particle Swarm Optimisation And Grid Computing
Grid-Enabled Mutation-Based Genetic Algorithm To Optimise Nuclear Fusion Devices
Exploration Of The Conjecture Of Bateman Using Particle Swarm Optimisation And Grid Computing
Evolutionary Computation And Grid Computing To Optimise Nuclear Fusion Devices: Different Techniques To Improve The Equilibrium Of A Stellarator
Exploration Of The Conjecture Of Bateman Using Particle Swarm Optimisation And Grid Computing
Evolutionary Computation And Grid Computing To Optimise Nuclear Fusion Devices: Different Techniques To Improve The Equilibrium Of A Stellarator
A Hybrid Differential Evolution Algorithm For Solving The Terminal Assignment Problem
Evolutionary Computation And Grid Computing To Optimise Nuclear Fusion Devices: Different Techniques To Improve The Equilibrium Of A Stellarator
A Hybrid Differential Evolution Algorithm For Solving The Terminal Assignment Problem
Solving The Weighted Ring Edge-Loading Problem Without Demand Splitting Using A Hybrid Differential Evolution Algorithm
A Hybrid Differential Evolution Algorithm For Solving The Terminal Assignment Problem
Solving The Weighted Ring Edge-Loading Problem Without Demand Splitting Using A Hybrid Differential Evolution Algorithm
Solving The Non-Split Weighted Ring Arc-Loading Problem In A Resilient Packet Ring Using Particle Swarm Optimization
Solving The Weighted Ring Edge-Loading Problem Without Demand Splitting Using A Hybrid Differential Evolution Algorithm
Solving The Non-Split Weighted Ring Arc-Loading Problem In A Resilient Packet Ring Using Particle Swarm Optimization
A Hybrid Ant Colony Optimization Algorithm For Solving The Terminal Assignment Problem
Solving The Non-Split Weighted Ring Arc-Loading Problem In A Resilient Packet Ring Using Particle Swarm Optimization
A Hybrid Ant Colony Optimization Algorithm For Solving The Terminal Assignment Problem
Grasp And Grid Computing To Solve The Location Area Problem
A Hybrid Ant Colony Optimization Algorithm For Solving The Terminal Assignment Problem
Grasp And Grid Computing To Solve The Location Area Problem
Modeling Experts' Opinions By Using Bayesian Mixture Models For A Subclass Of The Exponential Family
Grasp And Grid Computing To Solve The Location Area Problem
Modeling Experts' Opinions By Using Bayesian Mixture Models For A Subclass Of The Exponential Family
Application Of A Generalized Lognormal Distribution To Engineering Data Fitting
Modeling Experts' Opinions By Using Bayesian Mixture Models For A Subclass Of The Exponential Family
Application Of A Generalized Lognormal Distribution To Engineering Data Fitting
Multiobjective Frequency Assignment Problem Using The Mo-Vns And Mo-Svns Algorithms
Application Of A Generalized Lognormal Distribution To Engineering Data Fitting
Multiobjective Frequency Assignment Problem Using The Mo-Vns And Mo-Svns Algorithms
Applying Differential Evolution To The Reporting Cells Problem
Multiobjective Frequency Assignment Problem Using The Mo-Vns And Mo-Svns Algorithms
Applying Differential Evolution To The Reporting Cells Problem
3d Textural Mapping And Soft-Computing Applied To Cork Quality Inspection
Applying Differential Evolution To The Reporting Cells Problem
3d Textural Mapping And Soft-Computing Applied To Cork Quality Inspection
Applying Differential Evolution To A Realistic Location Area Problem Using Sumatra
3d Textural Mapping And Soft-Computing Applied To Cork Quality Inspection
Applying Differential Evolution To A Realistic Location Area Problem Using Sumatra
Studying Different Variants Of Pbil To Solve A Real-World Fap Problem In Gsm Networks
Applying Differential Evolution To A Realistic Location Area Problem Using Sumatra
Studying Different Variants Of Pbil To Solve A Real-World Fap Problem In Gsm Networks
Population-Based Incremental Learning To Solve The Fap Problem
Studying Different Variants Of Pbil To Solve A Real-World Fap Problem In Gsm Networks
Population-Based Incremental Learning To Solve The Fap Problem
A Hybrid Differential Evolution Algorithm To Solve A Real-World Frequency Assignment Problem
Population-Based Incremental Learning To Solve The Fap Problem
A Hybrid Differential Evolution Algorithm To Solve A Real-World Frequency Assignment Problem
Analysis Of Parameter Settings For Differential Evolution Algorithm To Solve A Real-World Frequency Assignment Problem In Gsm Networks
A Hybrid Differential Evolution Algorithm To Solve A Real-World Frequency Assignment Problem
Analysis Of Parameter Settings For Differential Evolution Algorithm To Solve A Real-World Frequency Assignment Problem In Gsm Networks
Can Fuzzy Logic Improve The Cork Quality Classification? A Comparative Study
Analysis Of Parameter Settings For Differential Evolution Algorithm To Solve A Real-World Frequency Assignment Problem In Gsm Networks
Can Fuzzy Logic Improve The Cork Quality Classification? A Comparative Study
Parallelizing Pbil For Solving A Real-World Frequency Assignment Problem In Gsm Networks
Can Fuzzy Logic Improve The Cork Quality Classification? A Comparative Study
Parallelizing Pbil For Solving A Real-World Frequency Assignment Problem In Gsm Networks
Ss Vs Pbil To Solve A Real-World Frequency Assignment Problem In Gsm Networks
Parallelizing Pbil For Solving A Real-World Frequency Assignment Problem In Gsm Networks
Ss Vs Pbil To Solve A Real-World Frequency Assignment Problem In Gsm Networks
A Genetic Algorithm With Multiple Operators For Solving The Terminal Assignment Problem
Ss Vs Pbil To Solve A Real-World Frequency Assignment Problem In Gsm Networks
A Genetic Algorithm With Multiple Operators For Solving The Terminal Assignment Problem
Solving The Location Area Problem By Using Differential Evolution
A Genetic Algorithm With Multiple Operators For Solving The Terminal Assignment Problem
Solving The Location Area Problem By Using Differential Evolution
Remote Services For Advanced Problem Optimization
Solving The Location Area Problem By Using Differential Evolution
Remote Services For Advanced Problem Optimization
Optimization Of Image-Processing Algorithms Using Fpgas
Remote Services For Advanced Problem Optimization
Optimization Of Image-Processing Algorithms Using Fpgas
Finding The Best Classifier For Evaluating Cork Quality In An Industrial Environment
Optimization Of Image-Processing Algorithms Using Fpgas
Finding The Best Classifier For Evaluating Cork Quality In An Industrial Environment
Genetic Algorithms, Parallelism, And Reconfigurable Hardware
Finding The Best Classifier For Evaluating Cork Quality In An Industrial Environment
Genetic Algorithms, Parallelism, And Reconfigurable Hardware
Optimization Of Time Series Using Parallel, Adaptive, And Neural Techniques
Genetic Algorithms, Parallelism, And Reconfigurable Hardware
Optimization Of Time Series Using Parallel, Adaptive, And Neural Techniques
Using Reconfigurable Computing For The Optimization Of Cryptographic Algorithms
Optimization Of Time Series Using Parallel, Adaptive, And Neural Techniques
Using Reconfigurable Computing For The Optimization Of Cryptographic Algorithms
Metaheuristics For Solving A Real-World Frequency Assignment Problem In Gsm Networks
Using Reconfigurable Computing For The Optimization Of Cryptographic Algorithms
Metaheuristics For Solving A Real-World Frequency Assignment Problem In Gsm Networks
Peaks Detection In X-Ray Diffraction Profiles Using Grid Computing
Metaheuristics For Solving A Real-World Frequency Assignment Problem In Gsm Networks
Peaks Detection In X-Ray Diffraction Profiles Using Grid Computing
Using A Genetic Algorithm And The Grid To Improve Transport Levels In The Tj-Ii Stellarator
Peaks Detection In X-Ray Diffraction Profiles Using Grid Computing
Using A Genetic Algorithm And The Grid To Improve Transport Levels In The Tj-Ii Stellarator
A Fpga Optimization Tool Based On A Multi-Island Genetic Algorithm Distributed Over Grid Environments
Using A Genetic Algorithm And The Grid To Improve Transport Levels In The Tj-Ii Stellarator
A Fpga Optimization Tool Based On A Multi-Island Genetic Algorithm Distributed Over Grid Environments
Grid Computing In Order To Implement A Three-Dimensional Magnetohydrodynamic Equilibrium Solver For Plasma Confinement
A Fpga Optimization Tool Based On A Multi-Island Genetic Algorithm Distributed Over Grid Environments
Grid Computing In Order To Implement A Three-Dimensional Magnetohydrodynamic Equilibrium Solver For Plasma Confinement
Computers And Education: E-Learning, From Theory To Practice
Grid Computing In Order To Implement A Three-Dimensional Magnetohydrodynamic Equilibrium Solver For Plasma Confinement
Computers And Education: E-Learning, From Theory To Practice
A Logistic Regression-Based Pairwise Comparison Method To Aggregate Preferences
Computers And Education: E-Learning, From Theory To Practice
A Logistic Regression-Based Pairwise Comparison Method To Aggregate Preferences
Efficient Generation Of Random Vectors By Using The Ratio-Of-Uniforms Method With Ellipsoidal Envelopes
A Logistic Regression-Based Pairwise Comparison Method To Aggregate Preferences
Efficient Generation Of Random Vectors By Using The Ratio-Of-Uniforms Method With Ellipsoidal Envelopes
A Bayesian Model For Multinomial Sampling With Misclassified Data
Efficient Generation Of Random Vectors By Using The Ratio-Of-Uniforms Method With Ellipsoidal Envelopes
A Bayesian Model For Multinomial Sampling With Misclassified Data
Tele-Education Of The Instruction Dynamic Scheduling Using A Web Simulator
A Bayesian Model For Multinomial Sampling With Misclassified Data
Tele-Education Of The Instruction Dynamic Scheduling Using A Web Simulator
A Biometric Security System Based On A Hybrid Face Recognition Technique
Tele-Education Of The Instruction Dynamic Scheduling Using A Web Simulator
A Biometric Security System Based On A Hybrid Face Recognition Technique
Genetic Algorithms And Iterated Local Search To Solve The Ring Loading Problem
A Biometric Security System Based On A Hybrid Face Recognition Technique
Genetic Algorithms And Iterated Local Search To Solve The Ring Loading Problem
Game Implementation: An Interesting Strategy To Teach Genetic Algorithms
Genetic Algorithms And Iterated Local Search To Solve The Ring Loading Problem
Game Implementation: An Interesting Strategy To Teach Genetic Algorithms
Comparing Hybrid Versions Of Ss And De To Solve A Realistic Fap Problem
Game Implementation: An Interesting Strategy To Teach Genetic Algorithms
Comparing Hybrid Versions Of Ss And De To Solve A Realistic Fap Problem
Advanced Texture Analysis In Cork Quality Detection
Comparing Hybrid Versions Of Ss And De To Solve A Realistic Fap Problem
Advanced Texture Analysis In Cork Quality Detection
La Estadã­stica Visual Como Herramienta Didã¡ctica En La Asignatura Matemã¡ticas De Una Licenciatura En Veterinaria
Advanced Texture Analysis In Cork Quality Detection
La Estadã­stica Visual Como Herramienta Didã¡ctica En La Asignatura Matemã¡ticas De Una Licenciatura En Veterinaria
Una Generalizaciã³n De La Lognormal: Ajuste De Tiempos De Vida
La Estadã­stica Visual Como Herramienta Didã¡ctica En La Asignatura Matemã¡ticas De Una Licenciatura En Veterinaria
Una Generalizaciã³n De La Lognormal: Ajuste De Tiempos De Vida
Image Processing And Neuro-Fuzzy Computing For Cork Quality Classification
Una Generalizaciã³n De La Lognormal: Ajuste De Tiempos De Vida
Image Processing And Neuro-Fuzzy Computing For Cork Quality Classification
Una Propuesta De Adaptación De La Asignatura De Arquitectura E Ingeniería De Computadores Al Eees
Image Processing And Neuro-Fuzzy Computing For Cork Quality Classification
Una Propuesta De Adaptación De La Asignatura De Arquitectura E Ingeniería De Computadores Al Eees
Using Omnidirectional Bts And Different Evolutionary Approaches To Solve The Rnd Problem
Una Propuesta De Adaptación De La Asignatura De Arquitectura E Ingeniería De Computadores Al Eees
Using Omnidirectional Bts And Different Evolutionary Approaches To Solve The Rnd Problem
Algoritmo Basado En Evolución Diferencial Para El Problema De Redes De Radiocomunicaciones
Using Omnidirectional Bts And Different Evolutionary Approaches To Solve The Rnd Problem
Algoritmo Basado En Evolución Diferencial Para El Problema De Redes De Radiocomunicaciones
Resolución Del Problema Rnd Utilizando Pbil Y Computación En Grid Boinc
Algoritmo Basado En Evolución Diferencial Para El Problema De Redes De Radiocomunicaciones
Resolución Del Problema Rnd Utilizando Pbil Y Computación En Grid Boinc
Hardware Modelling Of Cellular Automata: The Game Of Life Case
Resolución Del Problema Rnd Utilizando Pbil Y Computación En Grid Boinc
Hardware Modelling Of Cellular Automata: The Game Of Life Case
A Fast And Robust Iris Segmentation Method
Hardware Modelling Of Cellular Automata: The Game Of Life Case
A Fast And Robust Iris Segmentation Method
Evaluation Of Different Metaheuristics Solving The Rnd Problem
A Fast And Robust Iris Segmentation Method
Evaluation Of Different Metaheuristics Solving The Rnd Problem
Rage: A Java-Implemented Visual Random Generator
Evaluation Of Different Metaheuristics Solving The Rnd Problem
Rage: A Java-Implemented Visual Random Generator
Diseño De Juegos Como Herramienta Didáctica Para El Aprendizaje De Algoritmos Genéticos
Rage: A Java-Implemented Visual Random Generator
Diseño De Juegos Como Herramienta Didáctica Para El Aprendizaje De Algoritmos Genéticos
Algoritmo Evolutivo Para Búsqueda De Soluciones En Finales De Ajedrez
Diseño De Juegos Como Herramienta Didáctica Para El Aprendizaje De Algoritmos Genéticos
Algoritmo Evolutivo Para Búsqueda De Soluciones En Finales De Ajedrez
Colour Spaces Study For Skin Colour Detection In Face Recognition Systems
Algoritmo Evolutivo Para Búsqueda De Soluciones En Finales De Ajedrez
Colour Spaces Study For Skin Colour Detection In Face Recognition Systems
Diffuse Matrix - An Optimized Data Structure For The Storage And Processing Of Hyperspectral Images
Colour Spaces Study For Skin Colour Detection In Face Recognition Systems
Diffuse Matrix - An Optimized Data Structure For The Storage And Processing Of Hyperspectral Images
Volunteer Computing, An Interesting Option For Grid Computing: Extremadura As Case Study
Diffuse Matrix - An Optimized Data Structure For The Storage And Processing Of Hyperspectral Images
Volunteer Computing, An Interesting Option For Grid Computing: Extremadura As Case Study
Using 3d Features To Evaluate Cork Quality
Volunteer Computing, An Interesting Option For Grid Computing: Extremadura As Case Study
Using 3d Features To Evaluate Cork Quality
Computers And Education
Using 3d Features To Evaluate Cork Quality
Computers And Education
Bayesian Analysis Of Finite Mixtures Of Multinomial And Negative-Multinomial Distributions
Computers And Education
Bayesian Analysis Of Finite Mixtures Of Multinomial And Negative-Multinomial Distributions
Radio Network Design Using Population-Based Incremental Learning And Grid Computing With Boinc
Bayesian Analysis Of Finite Mixtures Of Multinomial And Negative-Multinomial Distributions
Radio Network Design Using Population-Based Incremental Learning And Grid Computing With Boinc
Reconfigurable Computing System For Image Processing Via The Internet
Radio Network Design Using Population-Based Incremental Learning And Grid Computing With Boinc
Reconfigurable Computing System For Image Processing Via The Internet
Solving The Frequency Assignment Problem With Differential Evolution
Reconfigurable Computing System For Image Processing Via The Internet
Solving The Frequency Assignment Problem With Differential Evolution
Tele-Education Of The Instruction Dynamic Scheduling Using A Web Simulator
Solving The Frequency Assignment Problem With Differential Evolution
Tele-Education Of The Instruction Dynamic Scheduling Using A Web Simulator
Game Implementation: An Interesting Strategy To Teach Genetic Algorithms
Tele-Education Of The Instruction Dynamic Scheduling Using A Web Simulator
Game Implementation: An Interesting Strategy To Teach Genetic Algorithms
Colour Spaces Study For Skin Colour Detection In Face Recognition Systems
Game Implementation: An Interesting Strategy To Teach Genetic Algorithms
Colour Spaces Study For Skin Colour Detection In Face Recognition Systems
Using 3d Features To Evaluate Cork Quality
Colour Spaces Study For Skin Colour Detection In Face Recognition Systems
Using 3d Features To Evaluate Cork Quality
Diffuse Matrix An Optimized Data Structure For The Storage And Processing Of Hyperspectral Images
Using 3d Features To Evaluate Cork Quality
Diffuse Matrix An Optimized Data Structure For The Storage And Processing Of Hyperspectral Images
Volunteer Computing, An Interesting Option For Grid Computing: Extremadura As Case Study
Diffuse Matrix An Optimized Data Structure For The Storage And Processing Of Hyperspectral Images
Volunteer Computing, An Interesting Option For Grid Computing: Extremadura As Case Study
New Advances In Reconfigurable Computing And Its Applications
Volunteer Computing, An Interesting Option For Grid Computing: Extremadura As Case Study
New Advances In Reconfigurable Computing And Its Applications
A Dynamically And Partially Reconfigurable Implementation Of The Idea Algorithm Using Fpgas And Handel-C
New Advances In Reconfigurable Computing And Its Applications
A Dynamically And Partially Reconfigurable Implementation Of The Idea Algorithm Using Fpgas And Handel-C
A Differential Evolution Algorithm For Location Area Problem In Mobile Networks
A Dynamically And Partially Reconfigurable Implementation Of The Idea Algorithm Using Fpgas And Handel-C
A Differential Evolution Algorithm For Location Area Problem In Mobile Networks
Fast Wide Area Network Design Optimisation Using Differential Evolution
A Differential Evolution Algorithm For Location Area Problem In Mobile Networks
Fast Wide Area Network Design Optimisation Using Differential Evolution
Pipesim: Pipeline-Scheduling Simulator
Fast Wide Area Network Design Optimisation Using Differential Evolution
Pipesim: Pipeline-Scheduling Simulator
Different Classifiers For The Problem Of Evaluating Cork Quality In An Industrial System
Pipesim: Pipeline-Scheduling Simulator
Different Classifiers For The Problem Of Evaluating Cork Quality In An Industrial System
A Genetic Algorithm To Design Error Correcting Codes
Different Classifiers For The Problem Of Evaluating Cork Quality In An Industrial System
A Genetic Algorithm To Design Error Correcting Codes
Apris: Library And On-Line Tools To Drive Parallel Adaptive And Neural Heuristic To Improve System Identification Precision
A Genetic Algorithm To Design Error Correcting Codes
Apris: Library And On-Line Tools To Drive Parallel Adaptive And Neural Heuristic To Improve System Identification Precision
A Solution For Evaluating The Stopper Quality In The Cork Industry
Apris: Library And On-Line Tools To Drive Parallel Adaptive And Neural Heuristic To Improve System Identification Precision
A Solution For Evaluating The Stopper Quality In The Cork Industry
Implementing The Idea Cryptographic Algorithm In Virtex-E And Virtex-Ii Fpgas
A Solution For Evaluating The Stopper Quality In The Cork Industry
Implementing The Idea Cryptographic Algorithm In Virtex-E And Virtex-Ii Fpgas
Using Fpgas To Implement Artificial Neural Networks
Implementing The Idea Cryptographic Algorithm In Virtex-E And Virtex-Ii Fpgas
Using Fpgas To Implement Artificial Neural Networks
Bayesian Analysis Of Finite Mixture Models Of Distributions From Exponential Families
Using Fpgas To Implement Artificial Neural Networks
Bayesian Analysis Of Finite Mixture Models Of Distributions From Exponential Families
Mcmc-Based Local Parametric Sensitivity Estimations
Bayesian Analysis Of Finite Mixture Models Of Distributions From Exponential Families
Mcmc-Based Local Parametric Sensitivity Estimations
Sensitivity Estimations For Bayesian Inference Models Solved By Mcmc Methods
Mcmc-Based Local Parametric Sensitivity Estimations
Sensitivity Estimations For Bayesian Inference Models Solved By Mcmc Methods
A Differential Evolution Based Algorithm To Optimize The Radio Network Design Problem
Sensitivity Estimations For Bayesian Inference Models Solved By Mcmc Methods
A Differential Evolution Based Algorithm To Optimize The Radio Network Design Problem
Placement And Routing Of Boolean Functions In Constrained Fpgas Using A Distributed Genetic Algorithm And Local Search
A Differential Evolution Based Algorithm To Optimize The Radio Network Design Problem
Placement And Routing Of Boolean Functions In Constrained Fpgas Using A Distributed Genetic Algorithm And Local Search
Apris: Library And On-Line Tools To Drive Parallel Adaptive And Neural Heuristic To Improve System Identification Precision
Placement And Routing Of Boolean Functions In Constrained Fpgas Using A Distributed Genetic Algorithm And Local Search
Apris: Library And On-Line Tools To Drive Parallel Adaptive And Neural Heuristic To Improve System Identification Precision
A Genetic Algorithm To Design Error Correcting Codes
Apris: Library And On-Line Tools To Drive Parallel Adaptive And Neural Heuristic To Improve System Identification Precision
A Genetic Algorithm To Design Error Correcting Codes
Pipesim: Pipeline-Scheduling Simulator
A Genetic Algorithm To Design Error Correcting Codes
Pipesim: Pipeline-Scheduling Simulator
A Solution For Evaluating The Stopper Quality In The Cork Industry
Pipesim: Pipeline-Scheduling Simulator
A Solution For Evaluating The Stopper Quality In The Cork Industry
Comparative Study Of Thresholding Techniques To Evaluate Cork Quality
A Solution For Evaluating The Stopper Quality In The Cork Industry
Comparative Study Of Thresholding Techniques To Evaluate Cork Quality
Different Classifiers For The Problem Of Evaluating Cork Quality In An Industrial System
Comparative Study Of Thresholding Techniques To Evaluate Cork Quality
Different Classifiers For The Problem Of Evaluating Cork Quality In An Industrial System
Comparative Study Of Second-Order Gray Level Texture Statistics To Evaluate Cork Quality
Different Classifiers For The Problem Of Evaluating Cork Quality In An Industrial System
Comparative Study Of Second-Order Gray Level Texture Statistics To Evaluate Cork Quality
Implementing The Idea Cryptographic Algorithm In Virtex-E And Virtex-Ii Fpgas
Comparative Study Of Second-Order Gray Level Texture Statistics To Evaluate Cork Quality
Implementing The Idea Cryptographic Algorithm In Virtex-E And Virtex-Ii Fpgas
Reconfigurable Computing And Parallelism For Implementing And Accelerating Evolutionary Algorithms
Implementing The Idea Cryptographic Algorithm In Virtex-E And Virtex-Ii Fpgas
Reconfigurable Computing And Parallelism For Implementing And Accelerating Evolutionary Algorithms
Recent Advances In Computer Vision And Image Processing Using Reconfigurable Hardware
Reconfigurable Computing And Parallelism For Implementing And Accelerating Evolutionary Algorithms
Recent Advances In Computer Vision And Image Processing Using Reconfigurable Hardware
Advances In Fpga Tools And Techniques
Recent Advances In Computer Vision And Image Processing Using Reconfigurable Hardware
Advances In Fpga Tools And Techniques
Desarrollo De Un Sistema De Formación A Través De Internet Para La Academia De Seguridad Pública De Extremadura
Advances In Fpga Tools And Techniques
Desarrollo De Un Sistema De Formación A Través De Internet Para La Academia De Seguridad Pública De Extremadura
Genetic Algorithms Using Parallelism And Fpgas: The Tsp As Case Study
Desarrollo De Un Sistema De Formación A Través De Internet Para La Academia De Seguridad Pública De Extremadura
Genetic Algorithms Using Parallelism And Fpgas: The Tsp As Case Study
Parametric Identification Of Solar Series Based On An Adaptive Parallel Methodology
Genetic Algorithms Using Parallelism And Fpgas: The Tsp As Case Study
Parametric Identification Of Solar Series Based On An Adaptive Parallel Methodology
Quasi-Random Sampling Importance Resampling
Parametric Identification Of Solar Series Based On An Adaptive Parallel Methodology
Quasi-Random Sampling Importance Resampling
Fpga Design And Implementation Of A Fast Pixel Purity Index Algorithm For Endmember Extraction In Hyperspectral Imagery
Quasi-Random Sampling Importance Resampling
Fpga Design And Implementation Of A Fast Pixel Purity Index Algorithm For Endmember Extraction In Hyperspectral Imagery
A Versatile Simulator For Cache Memories On Dsm Systems
Fpga Design And Implementation Of A Fast Pixel Purity Index Algorithm For Endmember Extraction In Hyperspectral Imagery
A Versatile Simulator For Cache Memories On Dsm Systems
Case Studies In Tele-Education: Research And Projects
A Versatile Simulator For Cache Memories On Dsm Systems
Case Studies In Tele-Education: Research And Projects
Hardware Vs Software: El Algoritmo Criptográfico Idea Implementado Mediante Fpgas
Case Studies In Tele-Education: Research And Projects
Hardware Vs Software: El Algoritmo Criptográfico Idea Implementado Mediante Fpgas
Web Simulator For The Teaching Of Instruction Dynamic Scheduling
Hardware Vs Software: El Algoritmo Criptográfico Idea Implementado Mediante Fpgas
Web Simulator For The Teaching Of Instruction Dynamic Scheduling
Desarrollos Y Experiencias Docentes A Través De Internet Para La Academia De Seguridad Pública De Extremadura
Web Simulator For The Teaching Of Instruction Dynamic Scheduling
Desarrollos Y Experiencias Docentes A Través De Internet Para La Academia De Seguridad Pública De Extremadura
Sistema Web De Auto-Evaluación En Patología Infecciosa
Desarrollos Y Experiencias Docentes A Través De Internet Para La Academia De Seguridad Pública De Extremadura
Sistema Web De Auto-Evaluación En Patología Infecciosa
Simulador De Protocolos Basados En Directorio Para La Coherencia Caché En Multiprocesadores
Sistema Web De Auto-Evaluación En Patología Infecciosa
Simulador De Protocolos Basados En Directorio Para La Coherencia Caché En Multiprocesadores
An Optimized Architecture For Implementing Image Convolution With Reconfigurable Hardware
Simulador De Protocolos Basados En Directorio Para La Coherencia Caché En Multiprocesadores
An Optimized Architecture For Implementing Image Convolution With Reconfigurable Hardware
Guest Editors' Introduction - Special Issue On Fpgas: Applications And Designs
An Optimized Architecture For Implementing Image Convolution With Reconfigurable Hardware
Guest Editors' Introduction - Special Issue On Fpgas: Applications And Designs
An Optimized Architecture For Implementing Image Convolution With Reconfigurable Hardware
Guest Editors' Introduction - Special Issue On Fpgas: Applications And Designs
An Optimized Architecture For Implementing Image Convolution With Reconfigurable Hardware
Introducción A Los Sistemas Digitales
An Optimized Architecture For Implementing Image Convolution With Reconfigurable Hardware
Introducción A Los Sistemas Digitales
Simulación Hacia Adelante Ponderada En Diseños Secuenciales Bayesianos
Introducción A Los Sistemas Digitales
Simulación Hacia Adelante Ponderada En Diseños Secuenciales Bayesianos
Sistema De Computación Remoto Para La Optimización Del Modelado De Series Temporales
Simulación Hacia Adelante Ponderada En Diseños Secuenciales Bayesianos
Sistema De Computación Remoto Para La Optimización Del Modelado De Series Temporales
Resolución Eficiente De Problemas Complejos Mediante Hardware Reconfigurable
Sistema De Computación Remoto Para La Optimización Del Modelado De Series Temporales
Resolución Eficiente De Problemas Complejos Mediante Hardware Reconfigurable
Using Neural Networks In A Parallel Adaptative Algorithm For The System Identification Optimization
Resolución Eficiente De Problemas Complejos Mediante Hardware Reconfigurable
Using Neural Networks In A Parallel Adaptative Algorithm For The System Identification Optimization
Using Neural Networks In A Parallel Adaptative Algorithm For The System Identification Optimization
Using Neural Networks In A Parallel Adaptative Algorithm For The System Identification Optimization
Using Neural Networks In A Parallel Adaptative Algorithm For The System Identification Optimization
Un Soporte Para La Enseñanza De La Lengua A Hipoacústicos
Using Neural Networks In A Parallel Adaptative Algorithm For The System Identification Optimization
Un Soporte Para La Enseñanza De La Lengua A Hipoacústicos
Application Of Information And Communication Technologies To The Teaching Of Digital Systems
Un Soporte Para La Enseñanza De La Lengua A Hipoacústicos
Application Of Information And Communication Technologies To The Teaching Of Digital Systems
An Educational Tool For Testing Caches On Symmetric Multiprocessors
Application Of Information And Communication Technologies To The Teaching Of Digital Systems
An Educational Tool For Testing Caches On Symmetric Multiprocessors
Cork Stopper Classification Using Fpgas And Digital Image Processing Techniques
An Educational Tool For Testing Caches On Symmetric Multiprocessors
Cork Stopper Classification Using Fpgas And Digital Image Processing Techniques
Enseñanza De Arquitecturas De Memorias Caché Mediante Simuladores
Cork Stopper Classification Using Fpgas And Digital Image Processing Techniques
Enseñanza De Arquitecturas De Memorias Caché Mediante Simuladores
Aproximación De Distribuciones A Posteriori Utilizando El Método De Cociente De Uniformes
Enseñanza De Arquitecturas De Memorias Caché Mediante Simuladores
Aproximación De Distribuciones A Posteriori Utilizando El Método De Cociente De Uniformes
La Enseñanza Sobre Memorias Caché En La Titulación De Ingeniería Informática De La Universidad De Extremadura
Aproximación De Distribuciones A Posteriori Utilizando El Método De Cociente De Uniformes
La Enseñanza Sobre Memorias Caché En La Titulación De Ingeniería Informática De La Universidad De Extremadura
Real Time Image Processing With Reconfigurable Hardware
La Enseñanza Sobre Memorias Caché En La Titulación De Ingeniería Informática De La Universidad De Extremadura
Real Time Image Processing With Reconfigurable Hardware
Real Time Image Processing With Reconfigurable Hardware
Real Time Image Processing With Reconfigurable Hardware
Real Time Image Processing With Reconfigurable Hardware
Comparison Of Two Clinical Scales For Causality Assessment In Hepatotoxicity
Real Time Image Processing With Reconfigurable Hardware
Comparison Of Two Clinical Scales For Causality Assessment In Hepatotoxicity
Innovación Docente De La Asignatura De Arquitectura De Computadores Mediante El Uso De Simuladores
Comparison Of Two Clinical Scales For Causality Assessment In Hepatotoxicity
Innovación Docente De La Asignatura De Arquitectura De Computadores Mediante El Uso De Simuladores
Simulación Utilizando El Muestreo Gibbs
Innovación Docente De La Asignatura De Arquitectura De Computadores Mediante El Uso De Simuladores
Simulación Utilizando El Muestreo Gibbs
Multi-Objective Swarm-Intelligence Algorithm For Document Clustering
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