SC: a novel fuzzy criterion for solving engineering and constrained optimization problems
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| Nhiều tác giả: | , , , , , |
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| Định dạng: | artículo original |
| Trạng thái: | Versión publicada |
| Ngày xuất bản: | 2017 |
| Miêu tả: | 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. |
| Quốc gia: | Portal de Revistas UCR |
| Tổ chức giáo dục: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Ngôn ngữ: | Inglés |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/22353 |
| Truy cập trực tuyến: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/22353 |
| Access Level: | acceso abierto |
| Từ khóa: | particle swarm optimization (PSO) optimization optimización por enjambres de partículas optimización |