SC: a novel fuzzy criterion for solving engineering and constrained optimization problems
সংরক্ষণ করুন:
| লেখক: | , , , , , |
|---|---|
| বিন্যাস: | artículo original |
| বর্তমান অবস্থা: | Versión publicada |
| প্রকাশনার তারিখ: | 2017 |
| বিবরন: | 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. |
| দেশ: | Portal de Revistas UCR |
| প্রতিষ্ঠান: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| ভাষা: | Inglés |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/22353 |
| অনলাইন ব্যবহার করুন: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/22353 |
| Access Level: | acceso abierto |
| মুখ্য শব্দ: | particle swarm optimization (PSO) optimization optimización por enjambres de partículas optimización |