• 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 ...
    • A Study of the Combination of Variation Operators in the NSGA-II Algorithm 

      Nebro-Urbaneja, Antonio Jesus; Durillo, Juan J.; Machín, Mirialys; Coello Coello, Carlos A.; Dorronsoro, Bernabé (Springer, 2013)
      Multi-objective evolutionary algorithms rely on the use of variation operators as their basic mechanism to carry out the evolutionary process. These operators are usually fixed and applied in the same way during algorithm ...
    • 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 ...
    • Optimización de problemas multiobjetivo de Ingeniería Civil con jMetal 

      Nebro-Urbaneja, Antonio Jesus; Zavala, Gustavo R.; Durillo, Juan J.; Luna, Francisco (2015-02-11)
      Este artículo describe el uso del framework de optimización multiobjetivo jMetal para afrontar la resolución de problemas de ingeniería civil; en particular, lo que se ha hecho ha sido integrar un software Open Source para ...
    • 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. ...
    • Solving a Real-World Structural Optimization Problem With a Distributed SMS-EMOA Algorithm 

      Luna, Francisco; Zavala, Gustavo R.; Nebro-Urbaneja, Antonio Jesus; Durillo, Juan J.; Coello Coello, Carlos A. (2013-12-18)
      This paper addresses a real-world optimization problem in civil engineering. It lies in the dimensioning of a 162m long bridge composed of 1584 bars so that both its weight and its deformation are to be minimized. Evaluating ...