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scopus(167)
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:scopusBi-objective evolutionary optimization of level of service in urban transportation based on traffic density
ArticleAbstract: This work investigates levels of service in urban transportation coupling a multi-objective evolutioPalabras claves:evolutionary computing, level of service, multi-objective optimization, sustainable transport systemsAutores:Hernán E. Aguirre, Rolando Armas, 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 effective EA for short term evolution with small population for traffic signal optimization
Conference ObjectAbstract: In this work, we study the effects of mutation operators combined with a varying mutation schedule aPalabras claves:Autores:Daolio F., Hernán E. Aguirre, Rolando Armas, Tanaka K.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:scopusCeci n'est pas une pipe: A deep convolutional network for fine-art paintings classification
Conference ObjectAbstract: 'Ceci n'est pas une pipe' French for 'This is not a pipe'. This is the description painted on the fiPalabras claves:Autores:Chan C.S., Hernán E. Aguirre, Tan W.R., Tanaka K.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:scopus