Publicacións en colaboración con investigadores/as de Centro de Investigación y de Estudios Avanzados (13)

2011

  1. Improving the efficiency of ε-dominance based grids

    Information Sciences, Vol. 181, Núm. 15, pp. 3101-3129

2010

  1. DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems

    Computers and Operations Research, Vol. 37, Núm. 3, pp. 470-480

2009

  1. g-dominance: Reference point based dominance for multiobjective metaheuristics

    European Journal of Operational Research, Vol. 197, Núm. 2, pp. 685-692

2008

  1. Hybridizing surrogate techniques, rough sets and evolutionary algorithms to efficiently solve multi-objective optimization problems

    GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008

  2. On the use of projected gradients for constrained multiobjective optimization problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Rough sets theory for multi-objective optimization problems

    Studies in Computational Intelligence, Vol. 102, pp. 81-98

  4. Seeding the initial population of a multi-objective evolutionary algorithm using gradient-based information

    2008 IEEE Congress on Evolutionary Computation, CEC 2008

  5. Surrogate-based multi-objective particle swarm optimization

    2008 IEEE Swarm Intelligence Symposium, SIS 2008

2007

  1. Alternative techniques to solve hard multi-objective optimization problems

    Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference

  2. Pareto-adaptive ε-dominance

    Evolutionary Computation, Vol. 15, Núm. 4, pp. 493-517

  3. Use of radial basis functions and rough sets for evolutionary multi-objective optimization

    Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, MCDM 2007

2006

  1. A new proposal for multi-objective optimization using differential evolution and rough sets theory

    GECCO 2006 - Genetic and Evolutionary Computation Conference

  2. A new proposal for multiobjective optimization using particle swarm optimization and rough sets theory

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)