• A Study of Archiving Strategies in Multi-Objective PSO for Molecular Docking 

      García-Nieto, José; López-Camacho, Esteban; García-Godoy, María Jesús; Nebro-Urbaneja, Antonio Jesus; Durillo, Juan J.; [et al.] (2016-09-30)
      Molecular docking is a complex optimization problem aimed at predicting the position of a ligand molecule in the active site of a receptor with the lowest binding energy. This problem can be formulated as a bi-objective ...
    • About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework 

      Benítez-Hidalgo, Antonio; Nebro-Urbaneja, Antonio Jesus; Durillo, Juan J.; García-Nieto, José; López-Camacho, Esteban; [et al.] (2018-11-05)
      Multi-objective optimization with metaheuristics is an active and popular research field which is supported by the availability of software frameworks providing algorithms, benchmark problems, quality indicators and other ...
    • Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study 

      Cordero, José A.; Nebro-Urbaneja, Antonio Jesus; Barba-González, Cristóbal; Durillo, Juan J.; García-Nieto, José; [et al.] (2016-09-15)
      Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the prototyping architecture of a tool aimed to solve Big Data Optimization problems. Our tool combines ...
    • Un Framework para Big Data Optimization Basado en jMetal y Spark 

      Barba-González, Cristóbal; Nebro-Urbaneja, Antonio Jesus; García-Nieto, José; Cordero, José A.; Durillo, Juan J.; [et al.] (2016)
      Las metaheurísticas multi-objetivo se han convertido en técnicas muy utilizadas para la resolución de problemas complejos de optimización compuestos de varias funciones objetivo en conflicto entre sí. Nos encontramos en ...
    • Redesigning the jMetal Multi-Objective Optimization Framework 

      Nebro-Urbaneja, Antonio Jesus; Durillo, Juan J.; Vergne, Matthieu (2015-07-23)
      jMetal, an open source, Java-based framework for multi-objective optimization with metaheuristics, has become a valuable tool for many researches in the area as well as for some industrial partners in the last ten years. ...