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http://repositorio.ufla.br/jspui/handle/1/11498| Title: | HPSOM: A hybrid particle swarm optimization algorithm with genetic mutation |
| Keywords: | Computer algorithms Evolutionary computation Brownouts Particle swarm optimization (PSO) Hybrid particle swarm optimization (HPSOM) Genetic algorithms (Computation) Algoritmos computacionais Computação evolucionária Energia elétrica – Racionamento Otimização por nuvem de partículas híbridas Algorítmo genético (Computação) |
| Issue Date: | Jun-2012 |
| Publisher: | ICIC International |
| Citation: | ESMIN A. A. A.; MATWIN, S. HPSOM: A hybrid particle swarm optimization algorithm with genetic mutation. International Journal of Innovative Computing, Information and Control, [S. l.], v. 9, n. 5, p. 1919-1934, May 2013. |
| Abstract: | In this paper, a hybrid particle swarm optimization algorithm (HPSOM) that uses the mutation process to improve the standard particle swarm optimization (PSO) algorithm is presented. The main idea of the HPSOM is to integrate the PSO with genetic algorithm mutation method. As a result, the proposed algorithm has the automatic balance ability between global and local searching abilities. The validity of the HPSOM algorithm is tested for a variety of benchmark problems. Experimental results show empirically that the proposed method outperforms significantly the standard PSO methods in terms of convergence speed, solution quality, ability to find the global optimum, and solution stability. |
| URI: | http://www.ijicic.org/ijicic-12-02085.pdf http://repositorio.ufla.br/jspui/handle/1/11498 |
| Appears in Collections: | DCC - Artigos publicados em periódicos |
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