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Proceedings of the IEEE International Conference on Systems, Man and Cybernetics(3)
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences(1)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)
Proceedings - 1999 International Conference on Information Intelligence and Systems, ICIIS 1999(1)
Cooperative model for genetic operators to improve GAs
Conference ObjectAbstract: This work proposes a new empirical model that puts genetic operators in a cooperative stand with eacPalabras claves:Autores:Hernán E. Aguirre, Sugimura T., Tanaka K.Fuentes:scopusAccelerated halftoning technique using improved genetic algorithm with tiny populations
Conference ObjectAbstract: This paper presents an accelerated halftoning technique using an improved genetic algorithm with tinPalabras claves:Autores:Hernán E. Aguirre, Sugimura T., Tanaka K.Fuentes:scopusAccelerated image halftoning technique using improved genetic algorithm
ArticleAbstract: This paper presents an accelerated image halftoning technique using an improved genetic algorithm wiPalabras claves:Adaptive mutation, Cooperative genetic operators, Genetic Algorithms, Image halftoning technique, Self-reproduction with mutationAutores:Hernán E. Aguirre, Sugimura T., Tanaka K.Fuentes:scopusMulti-objective optimization with improved genetic algorithm
Conference ObjectAbstract: In this work, we extend an improved GA (GA-SRM) to multi-objective flowshop scheduling problem (FSP)Palabras claves:Autores:Hernán E. Aguirre, Ishibashi H., Sugimura T., 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:scopusImproved distributed genetic algorithm with cooperative-competitive genetic operators
Conference ObjectAbstract: We have presented an empirical model of GA that puts parallel genetic operators in a cooperative-comPalabras claves:Autores:Hernán E. Aguirre, Oshita S., Sugimura T., Tanaka K.Fuentes:scopus