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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Effect of the Dynamic Topology on the Performance of PSO-2S Algorithm for Continuous Optimization
verfasst von : Abbas El Dor, Patrick Siarry
Erschienen in: Machine Learning, Optimization, and Big Data
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Abstract
PSO-2S is a multi-swarm PSO algorithm using charged particles in a partitioned search space for continuous optimization problems. In order to improve the performance of PSO-2S, this paper proposes a novel variant of this algorithm, called DPSO-2S, which uses the Dcluster neighborhood topologies to organize the communication networks between the particles. Experiments were conducted on a set of classical benchmark functions. The obtained results prove the effectiveness of the proposed algorithm.