Abstract
In this paper, a new promising strategy for PSO algorithm is proposed and described. This strategy presents alternative way of assigning new velocity to each particle in population. This new multiple choice particle swarm optimization (MC-PSO) algorithm is tested on four different test functions and the promising results of this alternative strategy are compared with the classic method. © 2013 Springer-Verlag.
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CITATION STYLE
Pluhacek, M., Senkerik, R., & Zelinka, I. (2013). Multiple choice strategy - A novel approach for particle swarm optimization - Preliminary study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7895 LNAI, pp. 36–45). https://doi.org/10.1007/978-3-642-38610-7_4
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