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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
Transactions of the Japanese Society for Artificial Intelligence(2)
2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010(1)
2010 World Automation Congress, WAC 2010(1)
Annals of Mathematics and Artificial Intelligence(1)
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Programación informática, programas, datos, seguridad(6)
Ciencias de la computación(2)
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scopus(10)
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: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: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:scopusPareto partial dominance MOEA and hybrid archiving strategy included CDAS in many-objective optimization
Conference ObjectAbstract: In this work, we propose a novel multi-objective evolutionary algorithm (MOEA) that uses Pareto partPalabras 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:scopusLocal dominance MOEA including control of dominance area of solutions on 0/1 multiobjective knapsack problems
ArticleAbstract: Local dominance has been shown to improve significantly the overall performance of multiobjective evPalabras claves:Control of dominance area of solutions, Evolutionary multi and many objectives optimization, Local dominance, SelectionAutores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusLocal dominance and controlling dominance area of solutions in multi and many objectives EAs
Conference ObjectAbstract: This work presents local dominance with alignment of principle search direction and control of dominPalabras claves:Control of dominance area of solutions, Evolutionary multi and many objectives optimization, Local dominance, SelectionAutores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusLocal dominance and local recombination in MOEAs on 0/1 multiobjective knapsack problems
ArticleAbstract: This work studies and compares the effects on performance of local dominance and local recombinationPalabras claves:0/1 multiobjective knapsack problems, Alignment of the principle search direction, Evolutionary computations, Local dominance, Local recombination, Multiobjective combinatorial optimization, Optimum locality, Polar coordinatesAutores: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:scopus