Mostrando 10 resultados de: 16
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Publisher
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings(1)
2006 IEEE Congress on Evolutionary Computation, CEC 2006(1)
2016 IEEE Congress on Evolutionary Computation, CEC 2016(1)
2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016(1)
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Programación informática, programas, datos, seguridad(7)
Métodos informáticos especiales(5)
Ciencias de la computación(4)
Biología(3)
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scopus(16)
Closed state model for understanding the dynamics of MOEAs
Conference ObjectAbstract: This work proposes the use of simple closed state models to capture, analyze and compare the dynamicPalabras claves:empirical study, Genetic Algorithms, multi-objective optimization, Working principles of evolutionary computingAutores:Derbel B., Hernán E. Aguirre, Liefooghe A., Monzón H., Tanaka K., Verel S.Fuentes:scopusAn effective EA for short term evolution with small population for traffic signal optimization
Conference ObjectAbstract: In this work, we study the effects of mutation operators combined with a varying mutation schedule aPalabras claves:Autores:Daolio F., Hernán E. Aguirre, Rolando Armas, Tanaka K.Fuentes:scopusAnalysis and comparison of multi-objective evolutionary approaches on the multi-objective 1/0 unit commitment problem
Conference ObjectAbstract: In this paper, we analyze the behavior and compare the performance of three state-of-the-art Multi-oPalabras claves:Autores:Hernán E. Aguirre, Jacquin S., Tanaka K., Zapotecas-Martínez S.Fuentes:scopusGenetic diversity and effective crossover in evolutionary many-objective optimization
Conference ObjectAbstract: In this work, we analyze genetic diversity of Pareto optimal solutions (POS) and study effective croPalabras claves:Autores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusDynamic control of the number of crossed genes in evolutionary many-objective optimization
Conference ObjectAbstract: When multi-objective evolutionary algorithms (MOEAs) are applied to many-objective optimization probPalabras claves:Autores:Coello Coello C.A., Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusEffects of population size on selection and scalability in evolutionary many-objective optimization
Conference ObjectAbstract: In this work we study population size as a fraction of the true Pareto optimal set and analyze its ePalabras claves:Autores:Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopusEffects of δ-similar elimination and controlled elitism in the NSGA-II multiobjective evolutionary algorithm
Conference ObjectAbstract: In this paper, we propose δ-similar elimination to induce a better distribution of non-dominated solPalabras claves:Autores:Hernán E. Aguirre, Sato M., Tanaka K.Fuentes:scopusOn the locality of dominance and recombination in multiobjective evolutionary algorithms
Conference ObjectAbstract: This work studies and compares the effects on performance of local dominance and local recombinationPalabras claves:Autores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusLocal dominance using polar coordinates to enhance multiobjective evolutionary algorithms
Conference ObjectAbstract: In this paper, we propose a calculation method of local dominance and enhance multiobjective evolutiPalabras claves:Autores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusUnderstanding Population Dynamics in Multi- and Many-Objective Evolutionary Algorithms for High-Resolution Approximations
ArticleAbstract: Achieving a high-resolution approximation and hitting the Pareto optimal set with some if not all mePalabras claves:Autores:Derbel B., Hernán E. Aguirre, Liefooghe A., Monzón Maldonado H., Tanaka K., Verel S.Fuentes:scopus