Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/28818
Title: Simplified particle swarm optimization algorithm
Other Titles: Algoritmo simplificado de otimização de enxame de partículas
Keywords: Optimization
Swarm intelligence
Global minimum
Algorithm
Otimização
Inteligência de enxame
Mínimo global
Algoritmo
Issue Date: 2012
Publisher: Universidade Estadual de Maringá
Citation: SANTOS, R. P. B. dos; MARTINS, C. H.; SANTOS, F. L. Simplified particle swarm optimization algorithm. Acta Scientiarum. Technology, Maringá, v. 34, n. 1, p. 21-25, Jan./Mar. 2012.
Abstract: Real ants and bees are considered social insects, which present some remarkable characteristics that can be used, as inspiration, to solve complex optimization problems. This field of study is known as swarm intelligence. Therefore, this paper presents a new algorithm that can be understood as a simplified version of the well known Particle Swarm Optimization (PSO). The proposed algorithm allows saving some computational effort and obtains a considerable performance in the optimization of nonlinear functions. We employed four nonlinear benchmark functions, Sphere, Schwefel, Schaffer and Ackley functions, to test and validate the new proposal. Some simulated results were used in order to clarify the efficiency of the proposed algorithm.
URI: http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/9679
http://repositorio.ufla.br/jspui/handle/1/28818
Appears in Collections:DEG - Artigos publicados em periódicos

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