Métodos Cuantitativos en Empresa y Economía
MÉTODOS CUANTITATIVOS EN EMPRE
Centro de Investigación y de Estudios Avanzados
Mexico, MéxicoPublications in collaboration with researchers from Centro de Investigación y de Estudios Avanzados (13)
2011
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Improving the efficiency of ε-dominance based grids
Information Sciences, Vol. 181, Núm. 15, pp. 3101-3129
2010
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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
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g-dominance: Reference point based dominance for multiobjective metaheuristics
European Journal of Operational Research, Vol. 197, Núm. 2, pp. 685-692
2008
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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
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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)
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Rough sets theory for multi-objective optimization problems
Studies in Computational Intelligence, Vol. 102, pp. 81-98
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Seeding the initial population of a multi-objective evolutionary algorithm using gradient-based information
2008 IEEE Congress on Evolutionary Computation, CEC 2008
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Surrogate-based multi-objective particle swarm optimization
2008 IEEE Swarm Intelligence Symposium, SIS 2008
2007
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Alternative techniques to solve hard multi-objective optimization problems
Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference
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Pareto-adaptive ε-dominance
Evolutionary Computation, Vol. 15, Núm. 4, pp. 493-517
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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
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A new proposal for multi-objective optimization using differential evolution and rough sets theory
GECCO 2006 - Genetic and Evolutionary Computation Conference
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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)