Study on Discrete Particle Swarm Optimization Algorithm

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The particle swarm optimization (PSO) algorithm is a new type global searching method, which mostly focus on the continuous variables and little on discrete variables. The discrete forms and discretized methods have received more attention in recent years. This paper introduces the basic principles and mechanisms of PSO algorithm firstly, then points out the process of PSO algorithm and depict the operation rules of discrete PSO algorithm. Various improvements and applications of discrete PSO algorithms are reviewed. The mechanisms and characteristics of two different discretized strategies are presented. Some development trends and future research directions about discrete PSO are proposed.

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Periodical:

Edited by:

Zhengyi Jiang, Yugui Li, Xiaoping Zhang, Jianmei Wang and Wenquan Sun

Pages:

1787-1794

DOI:

10.4028/www.scientific.net/AMM.220-223.1787

Citation:

B. Z. Wang et al., "Study on Discrete Particle Swarm Optimization Algorithm", Applied Mechanics and Materials, Vols. 220-223, pp. 1787-1794, 2012

Online since:

November 2012

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$38.00

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