SC: a novel fuzzy criterion for solving engineering and constrained optimization problems

 

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Autores: De los Cobos Silva, Sergio G., Gutiérrez-Andrade, Miguel A., Rincón-García, Eric A., Lara-Velázquez, Pedro, Mora-Gutiérrez, Roman A., Ponsich, Antonin S.
פורמט: artículo original
סטטוס:Versión publicada
Fecha de Publicación:2017
תיאור: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.
País:Portal de Revistas UCR
מוסד:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
שפה:Inglés
OAI Identifier:oai:portal.ucr.ac.cr:article/22353
גישה מקוונת:https://revistas.ucr.ac.cr/index.php/matematica/article/view/22353
Access Level:acceso abierto
מילת מפתח:particle swarm optimization (PSO)
optimization
optimización por enjambres de partículas
optimización

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