Mostrando 10 resultados de: 65
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(24)
2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010(2)
2016 IEEE Congress on Evolutionary Computation, CEC 2016(2)
GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference(2)
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences(2)
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Optimización matemática(36)
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scopus(65)
Attempt to reduce the computational complexity in multi-objective differential evolution algorithms
Conference ObjectAbstract: Nondominated sorting and diversity estimation procedures are an essential part of many multiobjectivPalabras claves:Crowding distance, Differential Evolution, K-d tree, many-objective optimization, Nondominated sorting, Skip listAutores:Drozdik M., Hernán E. Aguirre, Tanaka K.Fuentes:scopusAn analysis of differential evolution parameters on rotated bi-objective optimization functions
ArticleAbstract: Differential evolution (DE) is a very powerful and simple algorithm for single- and multi-objectivePalabras claves:Differential Evolution, multi-objective optimization, Parameter analysis, Rotational invarianceAutores:Derbel A.B., Drozdik M., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopusAn analysis on selection for high-resolution approximations in many-objective optimization
ArticleAbstract: This work studies the behavior of three elitist multi- and many-objective evolutionary algorithms gePalabras claves:Autores:Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopusAn evolutionary multiobjective approach to design highly non-linear Boolean functions
Conference ObjectAbstract: The proliferation of all kinds of devices with different security requirements and constraints, andPalabras claves:Cryptography, Evolutionary multiobjective optimization, information security, Non-linear Boolean functionsAutores:Fuwa Y., Hernán E. Aguirre, Okazaki H.Fuentes:scopusAnalysis and comparison of multi-objective evolutionary approaches on the multi-objective 1/0 unit commitment problem
Conference ObjectAbstract: In this paper, we analyze the behavior and compare the performance of three state-of-the-art Multi-oPalabras claves:Autores:Hernán E. Aguirre, Jacquin S., Tanaka K., Zapotecas-Martínez S.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:scopusAnalysis on population size and neighborhood recombination on many-objective optimization
Conference ObjectAbstract: This work analyzes population size and neighborhood recombination in the context of many-objective oPalabras claves:Autores:Hernán E. Aguirre, Kowatari N., Oyama A., Tanaka K.Fuentes:scopusA Generator for Scalable SAT Constrained Multi-Objective Optimization Benchmark Problems
Conference ObjectAbstract: Benchmark problems play a key role in the development of Multi-Objective Evolutionary Algorithms, asPalabras claves:Autores:Hernán E. Aguirre, Ide F.H., Miyakawa M., Whitley D.Fuentes:scopusA fitness landscape analysis of Pareto local search on bi-objective permutation flowshop scheduling problems
Conference ObjectAbstract: We study the difficulty of solving different bi-objective formulations of the permutation flowshop sPalabras claves:Autores:Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopusA refinement mechanism to improve particle swarm optimization
Conference ObjectAbstract: Due to its simplicity and effectiveness in solving many optimization problems, Particle Swarm OptimiPalabras claves:Hybrid algorithms, Local search mechanism, Particle Swarm OptimizationAutores:Hernán E. Aguirre, Tan W.R., Tanaka K., Zapotecas-Martínez S.Fuentes:scopus