Listar Ponencias (Ciencias de la Computación e Inteligencia Artificial) por autor 

Listar Ponencias (Ciencias de la Computación e Inteligencia Artificial) por autor "Durillo, Juan J."  

Mostrando ítems 1-5 de 5

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      About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework 

      Benítez Hidalgo, Antonio; Nebro, Antonio J.; Durillo, Juan J.; García Nieto, José Manuel; López Camacho, Esteban; Barba González, Cristóbal; Aldana Montes, José F. (Springer, 2018)
      Multi-objective optimization with metaheuristics is an active and popular research field which is supported by the ...
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      Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study 

      Cordero, José A.; Nebro, Antonio J.; Barba González, Cristóbal; Durillo, Juan J.; García Nieto, José Manuel; Navas Delgado, Ismael; Aldana Montes, José F. (Springer, 2016)
      Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the ...
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      Un Framework para Big Data Optimization Basado en jMetal y Spark 

      Barba González, Cristóbal; Nebro, Antonio J.; García Nieto, José Manuel; Cordero, José A.; Durillo, Juan J.; Navas Delgado, Ismael; Aldana Montes, José F. (Universidad de Salamanca, 2016)
      Las metaheur sticas multi-objetivo se han convertido en t ecnicas muy utilizadas para la resoluci on problemas complejos ...
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      Multi-Objective Particle Swarm Optimizers: An Experimental Comparison 

      Durillo, Juan J.; García Nieto, José Manuel; Nebro, Antonio J.; Coello Coello, Carlos A.; Luna, Francisco; Alba, Enrique (Springer, 2009)
      Particle Swarm Optimization (PSO) has received increasing attention in the optimization research community since its first ...
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      SMPSO: A new PSO-based metaheuristic for multi-objective optimization 

      Nebro, Antonio J.; Durillo, Juan J.; García Nieto, José Manuel; Coello Coello, Carlos A.; Luna, Francisco; Alba, Enrique (IEEE Computer Society, 2009)
      In this work, we present a new multi-objective particle swarm optimization algorithm (PSO) characterized by the use of ...