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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
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2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings(1)
2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010(1)
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scopus(17)
A study on interval to swtich combination of objectives considered in pareto partial dominance MOEA
Conference ObjectAbstract: Pareto partial dominance MOEA (PPD-MOEA) ranks individuals in the population by using only r (<m) obPalabras claves:Interval generation, many-objective optimization, MOEA, Pareto partial dominanceAutores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusAnalysis of NSGA-II and NSGA-II with CDAS, and proposal of an enhanced CDAS mechanism
Conference ObjectAbstract: In this work, we analyze the functionality transition in the evolution process of NSGA-II and an enhPalabras claves:Controlling dominance area of solutions, Functionality transition, Multiobjective evolutionary algorithm, Multiobjective optimization, NSGA-IIAutores:Hernán E. Aguirre, Sato H., Tanaka K., Tsuchida K.Fuentes:scopusControlling dominance area of solutions and its impact on the performance of MOEAs
Conference ObjectAbstract: This work proposes a method to control the dominance area of solutions in order to induce appropriatPalabras 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 MOEA temporally switching pareto partial dominance on many-objective 0/1 knapsack problems
ArticleAbstract: In this work, we propose a novel multi-objective evolutionary algorithm (MOEA) which improves searchPalabras claves:Many-objective 0/1 knapsack problem, Many-objective optimizaion, Multi-objective evolutionary algorithm, Pareto partial dominanceAutores:Hernán E. Aguirre, Sato H., Tanaka K.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:scopusImproved S-CDAS using crossover controlling the number of crossed genes for many-objective optimization
Conference ObjectAbstract: Self-controlling dominance area of solutions (S-CDAS) reclassifies solutions in each front obtainedPalabras claves:Control of the number of crossed genes, Evolutionary many-objective optimization, Self-control of dominance area of solutionsAutores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusSelf-controlling dominance area of solutions in evolutionary many-objective optimization
Conference ObjectAbstract: Controlling dominance area of solutions (CDAS) relaxes the concepts of Pareto dominance with an userPalabras claves:Autores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusVariable space diversity, crossover and mutation in MOEA solving many-objective knapsack problems
ArticleAbstract: In this work, we analyze variable space diversity of Pareto optimal solutions (POS) and study the efPalabras claves:Controlling the number of crossed genes, Local recombination, Many-objective 0/1 knapsack problem, many-objective optimization, Multiobjective evolutionary algorithmsAutores:Hernán E. Aguirre, Sato H., 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:scopus