Mostrando 10 resultados de: 148
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(42)
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences(5)
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics(4)
2016 IEEE Congress on Evolutionary Computation, CEC 2016(3)
GECCO 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference(3)
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Origen
scopus(148)
Halftone image generation using evolutionary computation
ArticleAbstract: In this chapter, we described several image halftoning schemes using evolutionary computation (EC).Palabras claves:Autores:Hernán E. Aguirre, 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:scopusExtended Pruning-Grafting operators for efficient distribution network reconfiguration
Conference ObjectAbstract: Network reconfiguration is a complicated combinatorial, non-differentiable, constrained optimizationPalabras claves:Autores:Akimoto Y., Hernán E. Aguirre, Ramezanjamaat S., Tanaka K.Fuentes:scopusExtending 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:scopusFeature selection in gait classification using geometric PSO assisted by SVM
Conference ObjectAbstract: Gait recognition is used to identify individuals by the way they walk. Recent research in automatedPalabras claves:feature selection, Gait classification, Particle Swarm Optimization, SUPPORT VECTOR MACHINESAutores:Akimoto Y., Hernán E. Aguirre, Tanaka K., Yeoh T.W., Zapotecas-Martínez S.Fuentes:scopusFine tuning of traffic in our cities with smart panels: The Quito City case study
Conference ObjectAbstract: In this article we work towards the desired future smart city in which IT and knowledge will hopefulPalabras claves:Application, evolutionary algorithm, LED panels, Real world, Road traffic, smart city, Smart mobilityAutores:Alba E., Hernán E. Aguirre, Rolando Armas, Stolfi D., Tanaka K.Fuentes:scopusEvolutionary Multiobjective Optimization including Practically Desirable Solutions
ArticleAbstract: In many practical situations the decision-maker has to pay special attention to decision space to dePalabras claves:Autores:Hernán E. Aguirre, Koishi M., Kusuno N., Sagawa M., Tanaka K.Fuentes:scopusEvolutionary design optimisation of traffic signals applied to quito city
Book PartAbstract: This chapter applies evolutionary computation and machine learning methods to study the transportatiPalabras claves:Design Optimization, evolutionary algorithm, Machine learning methods, Quito city, Traffic lightsAutores:Daolio F., Hernán E. Aguirre, Rolando Armas, Tanaka K.Fuentes:scopusEvolutionary many-objective optimization using dynamic ϵ-Hoods and Chebyshev function
Conference ObjectAbstract: Two preferred approaches to implement selection in many-objective optimization are based on scalarizPalabras 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:scopus