SC: A NOVEL FUZZY CRITERION FOR SOLVING ENGINEERING AND CONSTRAINED OPTIMIZATION PROBLEMS
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad de Costa Rica
2016
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| _version_ | 1876463737992380416 |
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| author | SERGIO G. DE-LOS-COBOS-SILVA |
| author_facet | SERGIO G. DE-LOS-COBOS-SILVA |
| contents | SC: A NOVEL FUZZY CRITERION FOR SOLVING ENGINEERING AND CONSTRAINED OPTIMIZATION PROBLEMS SERGIO G. DE-LOS-COBOS-SILVA MIGUEL A. GUTIÉRREZ-ANDRADE ERIC A. RINCÓN-GARCÍA PEDRO LARA-VELÁZQUEZ ROMAN A. MORA-GUTIÉRREZ ANTONIN S. PONSICH Física, Astronomía y Matemáticas optimization Particle swarm optimization (PSO In this paper a novel fuzzy convergence system (SC) and its fundamentalsare presented. The model was implemented on a monoobjetive PSOalgorithm with three phases: 1) Stabilization, 2) generation and breadthfirstsearch, and 3) generation and depth-first. The system SC-PSO-3Pwas tested with several benchmark engineering problems and with severalCEC2006 problems. The computing experience and comparison with previouslyreported results is presented. In some cases the results reported inthe literature are improved. 2016 artículo científico 1409-2433 https://www.redalyc.org/articulo.oa?id=45343487005 en http://www.redalyc.org/revista.oa?id=453 Revista de Matemática: Teoría y Aplicaciones application/pdf Universidad de Costa Rica Revista de Matemática: Teoría y Aplicaciones (Costa Rica) Num.1 Vol.23 |
| format | Artículo científico |
| id | redalyc_45343487005 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Universidad de Costa Rica |
| spellingShingle | SC: A NOVEL FUZZY CRITERION FOR SOLVING ENGINEERING AND CONSTRAINED OPTIMIZATION PROBLEMS SERGIO G. DE-LOS-COBOS-SILVA Física, Astronomía y Matemáticas optimization Particle swarm optimization (PSO SC: A NOVEL FUZZY CRITERION FOR SOLVING ENGINEERING AND CONSTRAINED OPTIMIZATION PROBLEMS SERGIO G. DE-LOS-COBOS-SILVA MIGUEL A. GUTIÉRREZ-ANDRADE ERIC A. RINCÓN-GARCÍA PEDRO LARA-VELÁZQUEZ ROMAN A. MORA-GUTIÉRREZ ANTONIN S. PONSICH Física, Astronomía y Matemáticas optimization Particle swarm optimization (PSO In this paper a novel fuzzy convergence system (SC) and its fundamentalsare presented. The model was implemented on a monoobjetive PSOalgorithm with three phases: 1) Stabilization, 2) generation and breadthfirstsearch, and 3) generation and depth-first. The system SC-PSO-3Pwas tested with several benchmark engineering problems and with severalCEC2006 problems. The computing experience and comparison with previouslyreported results is presented. In some cases the results reported inthe literature are improved. 2016 artículo científico 1409-2433 https://www.redalyc.org/articulo.oa?id=45343487005 en http://www.redalyc.org/revista.oa?id=453 Revista de Matemática: Teoría y Aplicaciones application/pdf Universidad de Costa Rica Revista de Matemática: Teoría y Aplicaciones (Costa Rica) Num.1 Vol.23 |
| title | SC: A NOVEL FUZZY CRITERION FOR SOLVING ENGINEERING AND CONSTRAINED OPTIMIZATION PROBLEMS |
| topic | Física, Astronomía y Matemáticas optimization Particle swarm optimization (PSO |
| url | https://www.redalyc.org/articulo.oa?id=45343487005 |