An optimization algorithm inspired by musical composition in constrained optimization problems
保存先:
| 著者: | , , , , , |
|---|---|
| フォーマット: | artículo original |
| 状態: | Versión publicada |
| 出版日付: | 2013 |
| その他の書誌記述: | Many real-world problems can be expressed as an instance of the constrained nonlinear optimization problem (CNOP). This problem has a set of constraints specifies the feasible solution space. In the last years several algorithms have been proposed and developed for tackling CNOP. In this paper, we present a cultural algorithm for constrained optimization, which is an adaptation of “Musical Composition Method” or MCM, which was proposed in [33] by Mora et al. We evaluated and analyzed the performance of MCM on five test cases benchmark of the CNOP. Numerical results were compared to evolutionary algorithm based on homomorphous mapping [23], Artificial Immune System [9] and anti-culture population algorithm [39]. The experimental results demonstrate that MCM significantly improves the global performances of the other tested metaheuristics on same of benchmark functions. |
| 国: | Portal de Revistas UCR |
| 機関: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| 言語: | Inglés |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/11658 |
| オンライン･アクセス: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/11658 |
| Access Level: | acceso abierto |
| キーワード: | Constrained nonlinear optimization metaheuristics cultural algorithms system socio-cultural of creativity musical composition optimización no lineal con restricciones metaheurísticas algoritmos culturales sistema socio-cultural de la creatividad composición musical |