PUBLICACIÓN

Is NSGA-II Ready for Large-Scale Multi-Objective Optimization?

ACCEDER A LA PUBLICACIÓN: Orcid

Antonio J. Nebro; Jesús Galeano-Brajones; Francisco Luna; Carlos A. Coello Coello

2022 Mathematical and Computational Applications

DOI

10.3390/mca27060103

AUTORES DE LA UEX

Jesús Galeano Brajones

OTRAS PUBLICACIONES DE INTERÉS

Detection And Mitigation Of Dos Attacks In Sdn. An Experimental Approach
Ai-Driven Meta-Model For Cybersecurity In Next-Generation Networks Using Multilayer Extreme Learning Machine
Landscape-Enabled Algorithmic Design For The Cell Switch-Off Problem In 5g Ultra-Dense Networks
Ai-Driven Meta-Model For Cybersecurity In Next-Generation Networks Using Multilayer Extreme Learning Machine
Landscape-Enabled Algorithmic Design For The Cell Switch-Off Problem In 5g Ultra-Dense Networks
Optimizing Load-Balanced Resource Allocation In Next-Generation Mobile Networks: A Parallelized Multi-Objective Approach
Landscape-Enabled Algorithmic Design For The Cell Switch-Off Problem In 5g Ultra-Dense Networks
Optimizing Load-Balanced Resource Allocation In Next-Generation Mobile Networks: A Parallelized Multi-Objective Approach
Leveraging Opensimmpls: A Simulation Platform For Gos/mpls Networks In Research And Education
Optimizing Load-Balanced Resource Allocation In Next-Generation Mobile Networks: A Parallelized Multi-Objective Approach
Leveraging Opensimmpls: A Simulation Platform For Gos/mpls Networks In Research And Education
Improving 5 G Base Station Placement Through Precise Rooftop Detection Using Super-Resolution Diffusion Models And Satellite Image Analysis
Leveraging Opensimmpls: A Simulation Platform For Gos/mpls Networks In Research And Education
Improving 5 G Base Station Placement Through Precise Rooftop Detection Using Super-Resolution Diffusion Models And Satellite Image Analysis
Network Traffic Classification Through High-Order L-Moments And Multi-Objective Optimization
Improving 5 G Base Station Placement Through Precise Rooftop Detection Using Super-Resolution Diffusion Models And Satellite Image Analysis
Network Traffic Classification Through High-Order L-Moments And Multi-Objective Optimization
Leveraging L-Moments To Characterize Traffic Behavior In 4g And 5g Networks
Network Traffic Classification Through High-Order L-Moments And Multi-Objective Optimization
Leveraging L-Moments To Characterize Traffic Behavior In 4g And 5g Networks
Tackling The 5g Cell Switch-Off As A Sparse Multi-Objective Optimization Problem: A Comparison Of The State-Of-The-Art
Leveraging L-Moments To Characterize Traffic Behavior In 4g And 5g Networks
Tackling The 5g Cell Switch-Off As A Sparse Multi-Objective Optimization Problem: A Comparison Of The State-Of-The-Art
Integration Of Scenario-Based Learning In Cybertomp With Fleco Studio: Enhancing Situational Awareness Training In Cybersecurity
Tackling The 5g Cell Switch-Off As A Sparse Multi-Objective Optimization Problem: A Comparison Of The State-Of-The-Art
Integration Of Scenario-Based Learning In Cybertomp With Fleco Studio: Enhancing Situational Awareness Training In Cybersecurity
Detection And Mitigation Of Security Threats Using Virtualized Network Functions In Software-Defined Networks
Integration Of Scenario-Based Learning In Cybertomp With Fleco Studio: Enhancing Situational Awareness Training In Cybersecurity
Detection And Mitigation Of Security Threats Using Virtualized Network Functions In Software-Defined Networks
A Biobjective Mixed Integer Nonlinear Programming Model For The Cell Switch-Off Problem Considering Quality Of Service And Energy Consumption
Detection And Mitigation Of Security Threats Using Virtualized Network Functions In Software-Defined Networks
A Biobjective Mixed Integer Nonlinear Programming Model For The Cell Switch-Off Problem Considering Quality Of Service And Energy Consumption
Prediction Of Optimal Locations For 5g Base Stations In Urban Environments Using Neural Networks And Satellite Image Analysis
A Biobjective Mixed Integer Nonlinear Programming Model For The Cell Switch-Off Problem Considering Quality Of Service And Energy Consumption
Prediction Of Optimal Locations For 5g Base Stations In Urban Environments Using Neural Networks And Satellite Image Analysis
Fleco: A Tool To Boost The Adoption Of Holistic Cybersecurity Management[Formula Presented]
Prediction Of Optimal Locations For 5g Base Stations In Urban Environments Using Neural Networks And Satellite Image Analysis
Fleco: A Tool To Boost The Adoption Of Holistic Cybersecurity Management[Formula Presented]
Applying Evolutionary Algorithms For Cell Switch-Off To Reduce Network Energy Consumption
Fleco: A Tool To Boost The Adoption Of Holistic Cybersecurity Management[Formula Presented]
Applying Evolutionary Algorithms For Cell Switch-Off To Reduce Network Energy Consumption
Enhancing Programmability In Next-Generation Networks: An Innovative Simulation Approach
Applying Evolutionary Algorithms For Cell Switch-Off To Reduce Network Energy Consumption
Enhancing Programmability In Next-Generation Networks: An Innovative Simulation Approach
Fast, Lightweight, And Efficient Cybersecurity Optimization For Tactical–operational Management
Enhancing Programmability In Next-Generation Networks: An Innovative Simulation Approach
Fast, Lightweight, And Efficient Cybersecurity Optimization For Tactical–operational Management
Designing Problem-Specific Operators For Solving The Cell Switch-Off Problem In Ultra-Dense 5g Networks With Hybrid Moeas
Fast, Lightweight, And Efficient Cybersecurity Optimization For Tactical–operational Management
Designing Problem-Specific Operators For Solving The Cell Switch-Off Problem In Ultra-Dense 5g Networks With Hybrid Moeas
A Novel Approach For Flow Analysis In Software-Based Networks Using L-Moments Theory
Designing Problem-Specific Operators For Solving The Cell Switch-Off Problem In Ultra-Dense 5g Networks With Hybrid Moeas
A Novel Approach For Flow Analysis In Software-Based Networks Using L-Moments Theory
Chained Orchestrator Algorithm For Ran-Slicing Resource Management: A Contribution To Ultra-Reliable 6g Communications
A Novel Approach For Flow Analysis In Software-Based Networks Using L-Moments Theory
Chained Orchestrator Algorithm For Ran-Slicing Resource Management: A Contribution To Ultra-Reliable 6g Communications
Is Nsga-Ii Ready For Large-Scale Multi-Objective Optimization?
Chained Orchestrator Algorithm For Ran-Slicing Resource Management: A Contribution To Ultra-Reliable 6g Communications
Is Nsga-Ii Ready For Large-Scale Multi-Objective Optimization?
Binary Particle Swarm Optimization For Selective Cell Switch-Off In Ultra-Dense 5g Networks
Is Nsga-Ii Ready For Large-Scale Multi-Objective Optimization?
Binary Particle Swarm Optimization For Selective Cell Switch-Off In Ultra-Dense 5g Networks
Detection And Mitigation Of Dos And Ddos Attacks In Iot-Based Stateful Sdn: An Experimental Approach
Binary Particle Swarm Optimization For Selective Cell Switch-Off In Ultra-Dense 5g Networks
Detection And Mitigation Of Dos And Ddos Attacks In Iot-Based Stateful Sdn: An Experimental Approach
Detection And Mitigation Of Dos Attacks In Sdn. An Experimental Approach
Detection And Mitigation Of Dos And Ddos Attacks In Iot-Based Stateful Sdn: An Experimental Approach
Detection And Mitigation Of Dos Attacks In Sdn. An Experimental Approach
Ai-Driven Meta-Model For Cybersecurity In Next-Generation Networks Using Multilayer Extreme Learning Machine
WEB ACCESIBLE