FRANCISCO JAVIER RODRÍGUEZ DÍAZ

Literals

• aiiso:code
  • f1c5042bcacc61a215036af4f4df5a48
• foaf:firstName
  • FRANCISCO JAVIER
• ou:indiceHscopus
  • 16
• foaf:lastName
  • RODRÍGUEZ DÍAZ
• foaf:name
  • FRANCISCO JAVIER RODRÍGUEZ DÍAZ
• vivo:orcidId
  • 0000000289659148
• ou:orcidURL
  • http://orcid.org/0000000289659148
• vivo:scopusId
  • 7402202941

Typed Literals

• ou:esDoctor
  • False (xsd:boolean)
• ou:personalActual
  • False (xsd:boolean)

Relations

• ou:tienePublicacion
  • A GA-based multiple simulated annealing
  • A fuzzy rule-based system to predict energy consumption of genetic programming algorithms
  • A genetic algorithm for the minimum generating set problem
  • A new memetic algorithm for multi-document summarization based on CHC algorithm and greedy search
  • A simulated annealing method based on a specialised evolutionary algorithm
  • A two-stage constructive method for the unweighted minimum string cover problem
  • An artificial bee colony algorithm for the unrelated parallel machines scheduling problem
  • An artificial bee colony algorithm for the maximally diverse grouping problem
  • An iterated greedy algorithm for the large-scale unrelated parallel machines scheduling problem
  • Analysing the significance of no free lunch theorems on the set of real-world binary problems
  • Arbitrary function optimisation with metaheuristics: No free lunch and real-world problems: No free lunch and real-world problems
  • Energy-consumption prediction of genetic programming algorithms using a fuzzy rule-based system
  • GRASP with exterior path-relinking and restricted local search for the multidimensional two-way number partitioning problem
  • GRASP with path-relinking for the non-identical parallel machine scheduling problem with minimising total weighted completion times
  • Generación automática de resúmenes extractivos para un solo documento: un mapeo sistemático
  • Genetic algorithms
  • Hybrid metaheuristics based on evolutionary algorithms and simulated annealing: Taxonomy, comparison, and synergy test
  • Iterated Greedy
  • Iterated greedy algorithms for the maximal covering location problem
  • Network reconstruction from betweenness centrality by artificial bee colony
  • Optimizing network attacks by artificial bee colony
  • Players’ selection for basketball teams, through Performance Index Rating, using multiobjective evolutionary algorithms
  • Randomized greedy multi-start algorithm for the minimum common integer partition problem
  • Role differentiation and malleable mating for differential evolution: An analysis on large-scale optimisation
  • Strategic oscillation for the quadratic multiple knapsack problem
  • Study and classification of plum varieties using image analysis and deep learning techniques
  • Tabu search with strategic oscillation for the quadratic minimum spanning tree
  • Tabu-enhanced iterated greedy algorithm: A case study in the quadratic multiple knapsack problem
  • The firefighter problem: Application of hybrid ant colony optimization algorithms
  • The firefighter problem: Empirical results on random graphs
Show less
• ou:perteneceAGrupoInvestigacion
  • Optimización multidisciplinar aplicada

Blank Nodes

• swrcfe:assignedTo
  • [Anonymous resource (nodeID://b7727948)
    (swrcfe:AssignedPerson)
    • swrcfe:role Investigador
    • swrcfe:project GRUPO DE EVOLUCIÓN ARTIFICIAL
    ]
  • [Anonymous resource (nodeID://b7727944)
    (swrcfe:AssignedPerson)
    • swrcfe:role Investigador
    • swrcfe:project CMPLab - VIRTUALIZACIÓN ESPECTRAL.
    ]
  • [Anonymous resource (nodeID://b7727945)
    (swrcfe:AssignedPerson)
    • swrcfe:role Investigador
    • swrcfe:project GRUPO DE EVOLUCIÓN ARTIFICIAL
    ]
  • [Anonymous resource (nodeID://b7727947)
    (swrcfe:AssignedPerson)
    • swrcfe:role Investigador
    • swrcfe:project ESTUDIO DE EVOLUCIÓN Y MADURACIÓN DEL CIRUELO JAPONÉS MEDIANTE ANÁLISIS HIPERESPECTRAL Y SISTEMAS INTELIGENTES
    ]
  • [Anonymous resource (nodeID://b7727946)
    (swrcfe:AssignedPerson)
    • swrcfe:role Investigador
    • swrcfe:project AYUDA AL GRUPO DE INVESTIGACIÓN DENOMINADO "EVOLUCIÓN ARTIFICIAL"
    ]
• org:hasMembership
  • [Anonymous resource (nodeID://b7950501)
    (org:Membership)
    • org:role Anonymous resource(nodeID://b7950503)
    • org:memberDuring Anonymous resource(nodeID://b7950502)
    ]
  • [Anonymous resource (nodeID://b7950504)
    (org:Membership)
    • org:role Anonymous resource(nodeID://b7950506)
    • org:memberDuring Anonymous resource(nodeID://b7950505)
    ]