Revista de Matemática: Teoría y Aplicaciones ISSN Impreso: 1409-2433 ISSN electrónico: 2215-3373

OAI: https://revistas.ucr.ac.cr/index.php/matematica/oai
SC: a novel fuzzy criterion for solving engineering and constrained optimization problems
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Keywords

particle swarm optimization (PSO)
optimization
optimización por enjambres de partículas
optimización

How to Cite

De los Cobos Silva, S. G., Gutiérrez-Andrade, M. A., Rincón-García, E. A., Lara-Velázquez, P., Mora-Gutiérrez, R. A., & Ponsich, A. S. (2017). SC: a novel fuzzy criterion for solving engineering and constrained optimization problems. Revista De Matemática: Teoría Y Aplicaciones, 23(1), 111–142. https://doi.org/10.15517/rmta.v23i1.22353

Abstract

In this paper a novel fuzzy convergence system (SC) and its fundamentals are presented. The model was implemented on a monoobjetive PSO algorithm with three phases: 1) Stabilization, 2) generation and breadth-first search, and 3) generation and depth-first. The system SC-PSO-3P was tested with several benchmark engineering problems and with several CEC2006 problems. The computing experience and comparison with previously reported results is presented. In some cases the results reported in the literature are improved.

https://doi.org/10.15517/rmta.v23i1.22353
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