Estimation of particle swarm distribution algorithms: bringing together the strengths of PSO and EDAs

Authors:
Chang Wook Ahn;Hyun-Tae Kim
Affiliations:
SungKyunKwan University, Cheoncheon-dong Suwon 440-746, South Korea;SungKyunKwan University, Cheoncheon-dong Suwon 440-746, South Korea
Venue:
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Year:
2009

Citing 4
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Abstract

This paper presents a framework of estimation of particle swarm distribution algorithms (EPSDAs). The aim lies in effectively combining particle swarm optimization (PSO) with estimation of distribution algorithms (EDAs) without losing on their unique features. To exhibit its practicability, an extended compact particle swarm optimization (EcPSO) is developed along the lines of the suggested framework. Empirical results have adduced grounds for its effectiveness.