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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(12)
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2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings(1)
2006 IEEE Congress on Evolutionary Computation, CEC 2006(1)
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scopus(48)
Comparison of parameter control mechanisms in multi-objective differential evolution
Conference ObjectAbstract: Differential evolution (DE) is a powerful and simple algorithm for single- and multi-objective optimPalabras claves:Comparative Study, Differential Evolution, multi-objective optimization, Parameter controlAutores:Akimoto Y., Drozdik M., Hernán E. Aguirre, Tanaka K.Fuentes:scopusComputational Cost Reduction of Nondominated Sorting Using the M-Front
ArticleAbstract: Many multiobjective evolutionary algorithms rely on the nondominated sorting procedure to determinePalabras claves:Computational cost reduction, Data structures, Evolutionary computation, K-d tree, many-objective optimization, multi-objective optimization, Nearest neighbor searches, Non-dominated sorting, Pareto optimizationAutores:Akimoto Y., Drozdik M., Hernán E. Aguirre, Tanaka K.Fuentes:scopusA closer look to elitism in ϵ-dominance many-objective optimization
Conference ObjectAbstract: Elitism is a common feature of many-objective optimizers and has a strong impact on the performancePalabras claves:Autores:Hernán E. Aguirre, Sano R., Tanaka K.Fuentes:scopusA feature-based performance analysis in evolutionary multiobjective optimization
Conference ObjectAbstract: This paper fundamentally investigates the performance of evolutionary multiobjective optimization (EPalabras claves:Autores:Daolio F., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopusA hybrid scalarization and adaptive ε-ranking strategy for many-objective optimization
Conference ObjectAbstract: This work proposes a hybrid strategy in a two-stage search process for many-objective optimization.Palabras claves:Autores:Hernán E. Aguirre, Tanaka K.Fuentes:scopusA model for parallel operators in genetic algorithms
ArticleAbstract: In this chapter we have presented a model of GA for applying crossover and varying mutation separatePalabras claves:Autores:Hernán E. Aguirre, Tanaka K.Fuentes:scopusA set-oriented MOEA/D
Conference ObjectAbstract: The working principles of the well-established multi-objective evolutionary algorithm Moea/d reliesPalabras claves:Combinatorial optimization, decomposition, Evolutionary algorithms, many-objective optimization, Multi-Autores:Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S., Zhang Q.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:scopusArtGAN: Artwork synthesis with conditional categorical GANs
Conference ObjectAbstract: This paper proposes an extension to the Generative Adversarial Networks (GANs), namely as ArtGAN toPalabras claves:deep learning, Generative Adversarial Networks, Image synthesisAutores:Chan C.S., Hernán E. Aguirre, Tan W.R., Tanaka K.Fuentes:scopusAdaptive ε-Ranking on many-objective problems
ArticleAbstract: This work proposes Adaptive ε-Ranking to enhance Pareto based selection, aiming to develop effectivePalabras claves:Adaptation, Epistasis, many-objective optimization, Selection, ε-RankingAutores:Hernán E. Aguirre, Tanaka K.Fuentes:scopus