<b>Simplified particle swarm optimization algorithm</b> - doi: 10.4025/actascitechnol.v34i1.9679

Autores

  • Ricardo Paupitz Barbosa dos Santos Universidade Estadual de Maringá
  • Carlos Humberto Martins Universidade Estadual de Maringá
  • Fábio Lúcio Santos Universidade Estadual de Maringá

DOI:

https://doi.org/10.4025/actascitechnol.v34i1.9679

Palavras-chave:

Optimization, swarm intelligence, global minimum, algorithm

Resumo

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.

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Biografia do Autor

Carlos Humberto Martins, Universidade Estadual de Maringá

Formado em Engenharia Civil pela USP-São Carlos, tem atuação na área de Estruturas, Estruturas de Concreto, Análise Numérica. http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4798218P9

Publicado

2011-07-08

Como Citar

Santos, R. P. B. dos, Martins, C. H., & Santos, F. L. (2011). <b>Simplified particle swarm optimization algorithm</b> - doi: 10.4025/actascitechnol.v34i1.9679. Acta Scientiarum. Technology, 34(1), 21–25. https://doi.org/10.4025/actascitechnol.v34i1.9679

Edição

Seção

Ciência da Computação

 

0.8
2019CiteScore
 
 
36th percentile
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0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus

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