Documentos de Zapotecas-Martínez S. | REDI

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Objetivos de Desarrollo Sostenible: "ODS 17: Alianzas para lograr los objetivos"

Subtipo de publicación

Conference Object(8)

Publisher

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)

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

2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings(1)

2016 IEEE Congress on Evolutionary Computation, CEC 2016(1)

GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference(1)

Área temáticas

Ciencias de la computación(5)

Programación informática, programas, datos, seguridad(4)

Matemáticas(2)

Métodos informáticos especiales(2)

Área de conocimiento

Optimización matemática(6)

Aprendizaje automático(1)

Ingeniería de software(1)

Simulación por computadora(1)

Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura(10)

ODS 8: Trabajo decente y crecimiento económico(7)

ODS 4: Educación de calidad(2)

ODS 3: Salud y bienestar(1)

Año de Publicación

Origen

Palabras Claves

Decomposition-based moeas(2)

Particle Swarm Optimization(2)

multi-objective optimization(2)

Covariance matrix adaption evolution strategy(1)

Differential Evolution(1)

A Review of Features and Limitations of Existing Scalable Multiobjective Test Suites

Abstract: In multiobjective optimization, a scalable test problem is one that can be formulated for an arbitra

Palabras claves:

Evolutionary algorithms, many-objective optimization, scalable multiobjective test problems

Coello Coello C.A., Hernán E. Aguirre, 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.

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.

Injecting CMA-ES into MOEA/D

Conference Object

Abstract: MOEA/D is an aggregation-based evolutionary algorithm which has been proved extremely efficient and

Palabras claves:

Covariance matrix adaption evolution strategy, Decomposition-based moeas, multi-objective optimization

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

On the low-discrepancy sequences and their use in MOEA/D for high-dimensional objective spaces

Conference Object

Abstract: In spite of the success of the multi-objective evolutionary algorithm based on decomposition (MOEA/D

Palabras claves:

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

Pareto dominance-based MOEAs on problems with difficult pareto set topologies

Conference Object

Abstract: Despite the extensive application of multi-objective evolutionary algorithms (MOEAs) to solve multi-

Palabras claves:

Differential Evolution, multi-objective optimization, Recombination operators, Selection, Working principles of evolutionary computing

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

Using a family of curves to approximate the pareto front of a multi-objective optimization problem

Abstract: The design of selection mechanisms based on quality assessment indicators has become one of the main

Palabras claves:

Coello Coello C.A., Hernán E. Aguirre, Sosa Hernández V.A., Tanaka K., Zapotecas-Martínez S.