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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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scopus(65)
A 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:scopusA study on diversity activation and collective detection in artificial immune systems
ArticleAbstract: Artificial Immune Systems applied to network intrusion detection have been shown to perform relativePalabras claves:Anomaly detection, Artificial immune systems, Collective detection, Diversity activation, Negative Selection, Network intrusion detectionAutores:Hernán E. Aguirre, Tanaka K.Fuentes:scopusA study on large population MOEA using adaptive ε-box dominance and neighborhood recombination for many-objective optimization
Conference ObjectAbstract: Multi-objective evolutionary algorithms are increasingly being investigated to solve many-objectivePalabras claves:Autores:Hernán E. Aguirre, Kowatari N., Oyama A., Tanaka K.Fuentes:scopusA study on population size and selection lapse in many-objective optimization
Conference ObjectAbstract: In this work we study the effects of population size on selection and performance scalability of twoPalabras claves:Autores:Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopusA study on the effects of rankings sensitive to density on many-objective MNK landscapes
Conference ObjectAbstract: This work investigates ε-ranking and ε-box non-domination sorting, two methods that incorporate ε-doPalabras claves:Autores:Hernán E. Aguirre, Tanaka K.Fuentes:scopusA surrogate model based on walsh decomposition for pseudo-boolean functions
Conference ObjectAbstract: Extensive efforts so far have been devoted to the design of effective surrogate models aiming at redPalabras claves:Autores:Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S.Fuentes:scopusAttempt 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:scopus