<b>Simplified particle swarm optimization algorithm</b> - doi: 10.4025/actascitechnol.v34i1.9679
<p class="aresumo">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 algori...
| Published in: | Acta Scientiarum: Technology |
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| Main Authors: | , , |
| Format: | Article |
| Language: | Portuguese |
| Published: |
Universidade Estadual de Maringá
2011-11-01
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| Subjects: | |
| Online Access: | http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/9679 |
| Summary: | <p class="aresumo">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.</p> |
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| ISSN: | 1806-2563 1807-8664 |