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scopus(48)
Extending 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 multi-objective optimization to attain practically desirable solutions
Conference ObjectAbstract: This work investigates two methods to search practically desirable solutions expanding the objectivePalabras claves:Evolutionary multi-objective algorithms, multi-objective optimization, Practically desirable solutionsAutores:Hernán E. Aguirre, Koishi M., Kusuno N., Tanaka K.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:scopusComputational Cost Reduction of Nondominated Sorting Using the M-Front
ArticleAbstract: Many multiobjective evolutionary algorithms rely on the nondominated sorting procedure to determinePalabras claves:Computational cost reduction, Data structures, Evolutionary computation, K-d tree, many-objective optimization, multi-objective optimization, Nearest neighbor searches, Non-dominated sorting, Pareto optimizationAutores:Akimoto Y., Drozdik M., Hernán E. Aguirre, 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:scopusEffects of MOEA temporally switching pareto partial dominance on many-objective 0/1 knapsack problems
ArticleAbstract: In this work, we propose a novel multi-objective evolutionary algorithm (MOEA) which improves searchPalabras claves:Many-objective 0/1 knapsack problem, Many-objective optimizaion, Multi-objective evolutionary algorithm, Pareto partial dominanceAutores:Hernán E. Aguirre, Sato H., Tanaka K.Fuentes:scopusEffects of elitism and population climbing on multiobjective MNK-landscapes
Conference ObjectAbstract: Epistasis and NK-Landscapes in the context of multiobjective evolutionary algorithms (MOEAs) are almPalabras claves:Autores:Hernán E. Aguirre, Tanaka K.Fuentes:scopusEffects of δ-similar elimination and controlled elitism in the NSGA-II multiobjective evolutionary algorithm
Conference ObjectAbstract: In this paper, we propose δ-similar elimination to induce a better distribution of non-dominated solPalabras claves:Autores:Hernán E. Aguirre, Sato M., Tanaka K.Fuentes:scopusDistribution search on evolutionary many-objective optimization: Selection mappings and recombination rate
Book PartAbstract: This work studies distribution search in the context of evolutionary many-objective optimization whePalabras claves:Autores:Hernán E. Aguirre, Oyama A., Tanaka K.Fuentes:scopusA closer look to elitism in ϵ-dominance many-objective optimization
Conference ObjectAbstract: Elitism is a common feature of many-objective optimizers and has a strong impact on the performancePalabras claves:Autores:Hernán E. Aguirre, Sano R., Tanaka K.Fuentes:scopus