Mostrando 10 resultados de: 115
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(35)
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scopus(115)
Halftone image generation using evolutionary computation
ArticleAbstract: In this chapter, we described several image halftoning schemes using evolutionary computation (EC).Palabras claves:Autores:Hernán E. Aguirre, Tanaka K.Fuentes:scopusHalftone image generation with improved multiobjective genetic algorithm
Conference ObjectAbstract: A halftoning technique that uses a simple GA has proven to be very effective to generate high qualitPalabras claves:Cooperative-competitive genetic operators, Halftoning problem, multiobjective genetic algorithm, Multiobjective optimizationAutores:Hernán E. Aguirre, Oshita S., Sugimura T., Tanaka K.Fuentes:scopusExtending AεSεH from many-objective to multi-objective optimization
ArticleAbstract: This work analyzes the dynamics of dominance based multiobjective evolutionary algorithms and extendPalabras claves:Autores:Hernán E. Aguirre, Oyama A., Tanaka K., Yazawa Y.Fuentes:scopusEvolutionary many-objective optimization using dynamic ϵ-Hoods and Chebyshev function
Conference ObjectAbstract: Two preferred approaches to implement selection in many-objective optimization are based on scalarizPalabras claves:Autores:Hernán E. Aguirre, Oyama A., Tanaka K., Yazawa Y.Fuentes:scopusFuzzy qualitative deep compression network
ArticleAbstract: Recently, Convolutional Neural Networks (CNNs) have become a popular choice to tackle image classifiPalabras claves:Convolutional neural network, Deep compression, Fuzzy deep learning, image classification, Painting classificationAutores:Chan C.S., Hernán E. Aguirre, Tan W.R., Tanaka K.Fuentes:scopusGenetic algorithm assisted by a SVM for feature selection in gait classification
Conference ObjectAbstract: Feature selection is considered an important step for gait pattern recognition. The task of a gait cPalabras claves:feature selection, Gait classification, genetic algorithm (GA), support vector machine (SVM)Autores:Akimoto Y., Hernán E. Aguirre, Tanaka K., Yeoh T.W., Zapotecas-Martínez S.Fuentes:scopusGenetic algorithms on NK-landscapes: Effects of selection, drift, mutation, and recombination
ArticleAbstract: Empirical studies have shown that the overall performance of random bit climbers on NK-Landscapes isPalabras claves:Autores:Hernán E. Aguirre, 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:scopusGeometric differential evolution in MOEA/D: A preliminary study
Conference ObjectAbstract: The multi-objective evolutionary algorithm based on decomposition (MOEA/D) is an aggregation-based aPalabras claves:Autores:Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Zapotecas-Martínez S.Fuentes:scopusGeometric particle swarm optimization for multi-objective optimization using decomposition
Conference ObjectAbstract: Multi-objective evolutionary algorithms (MOEAs) based on decomposition are aggregation-based algoritPalabras claves:Decomposition-based moeas, Multi-objective combinatorial optimization, Particle Swarm OptimizationAutores:Hernán E. Aguirre, Moraglio A., Tanaka K., Zapotecas-Martínez S.Fuentes:scopus