Documentos de Zapotecas-Martínez S. | REDI

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Mostrando 8 resultados de: 8

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Área temáticas: "Ciencias de la computación"

Subtipo de publicación

Conference Object(8)

Publisher

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)

2016 IEEE Congress on Evolutionary Computation, CEC 2016(2)

2014 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2014(1)

GECCO 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference(1)

Área temáticas

Denominaciones y sectas de la Iglesia cristiana(1)

Matemáticas(1)

Principios generales de matemáticas(1)

Área de conocimiento

Optimización matemática(5)

Aprendizaje automático(2)

Ciencias de la computación(1)

Año de Publicación

Origen

Palabras Claves

Particle Swarm Optimization(3)

Gait classification(2)

feature selection(2)

Decomposition-based moeas(1)

Difficult Pareto set topology(1)

Analysis and comparison of multi-objective evolutionary approaches on the multi-objective 1/0 unit commitment problem

Conference Object

Abstract: In this paper, we analyze the behavior and compare the performance of three state-of-the-art Multi-o

Palabras claves:

Hernán E. Aguirre, Jacquin S., Tanaka K., Zapotecas-Martínez S.

A refinement mechanism to improve particle swarm optimization

Conference Object

Abstract: Due to its simplicity and effectiveness in solving many optimization problems, Particle Swarm Optimi

Palabras claves:

Hybrid algorithms, Local search mechanism, Particle Swarm Optimization

Hernán E. Aguirre, Tan W.R., Tanaka K., Zapotecas-Martínez S.

Approaches for many-objective optimization: Analysis and comparison on MNK-landscapes

Conference Object

Abstract: This work analyses the behavior and compares the performance of MOEA/D, IBEA using the binary additi

Palabras claves:

Hernán E. Aguirre, Liefooghe A., Tanaka K., Verel S., Zapotecas-Martínez S.

Approximating pareto set topology by cubic interpolation on bi-objective problems

Conference Object

Abstract: Difficult Pareto set topology refers to multi-objective problems with geometries of the Pareto set s

Palabras claves:

Difficult Pareto set topology, evolutionary algorithm, Interpolation, multi-objective optimization

Derbel B., Hernán E. Aguirre, Liefooghe A., Marca Y., Tanaka K., Verel S., Zapotecas-Martínez S.

Genetic algorithm assisted by a SVM for feature selection in gait classification

Conference Object

Abstract: Feature selection is considered an important step for gait pattern recognition. The task of a gait c

Palabras claves:

feature selection, Gait classification, genetic algorithm (GA), support vector machine (SVM)

Akimoto Y., Hernán E. Aguirre, Tanaka K., Yeoh T.W., Zapotecas-Martínez S.

Geometric differential evolution in MOEA/D: A preliminary study

Conference Object

Abstract: The multi-objective evolutionary algorithm based on decomposition (MOEA/D) is an aggregation-based a

Palabras claves:

Derbel B., Hernán E. Aguirre, Liefooghe A., Tanaka K., Zapotecas-Martínez S.

Geometric particle swarm optimization for multi-objective optimization using decomposition

Conference Object

Abstract: Multi-objective evolutionary algorithms (MOEAs) based on decomposition are aggregation-based algorit

Palabras claves:

Decomposition-based moeas, Multi-objective combinatorial optimization, Particle Swarm Optimization

Hernán E. Aguirre, Moraglio A., Tanaka K., Zapotecas-Martínez S.

Feature selection in gait classification using geometric PSO assisted by SVM

Conference Object

Abstract: Gait recognition is used to identify individuals by the way they walk. Recent research in automated

Palabras claves:

feature selection, Gait classification, Particle Swarm Optimization, SUPPORT VECTOR MACHINES

Akimoto Y., Hernán E. Aguirre, Tanaka K., Yeoh T.W., Zapotecas-Martínez S.