Effect of the dynamic topology on the performance of PSO-2S algorithm for continuous optimization

Abbas El Dor 1, 2 Patrick Siarry 3
1 TASC - Theory, Algorithms and Systems for Constraints
Inria Rennes – Bretagne Atlantique , Département informatique - EMN, LINA - Laboratoire d'Informatique de Nantes Atlantique
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.
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Communication dans un congrès
Machine Learning, Optimization, and Big Data : First International Workshop, MOD 2015, Jul 2015, Taormina, Sicily, Italy. 2015
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Contributeur : Abbas El Dor <>
Soumis le : jeudi 3 décembre 2015 - 12:38:54
Dernière modification le : mardi 16 janvier 2018 - 14:39:47
Document(s) archivé(s) le : vendredi 4 mars 2016 - 12:10:31

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Abbas El Dor, Patrick Siarry. Effect of the dynamic topology on the performance of PSO-2S algorithm for continuous optimization. Machine Learning, Optimization, and Big Data : First International Workshop, MOD 2015, Jul 2015, Taormina, Sicily, Italy. 2015. 〈hal-01237446〉

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