Particle Swarm Optimization with Crossover Operator for Global Optimization Problems

Wei Yi Qian; Guang Lei Liu

doi:10.4028/www.scientific.net/AMM.373-375.1131

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 373-375Particle Swarm Optimization with Crossover...

Particle Swarm Optimization with Crossover Operator for Global Optimization Problems

Abstract:

We propose a modified particle swarm optimization (PSO) algorithm named SPSO for the global optimization problems. In SPSO, we introduce the crossover operator in order to increase the diversity of the swarm. The crossover operator is contracted by forming a simplex. The crossover operator is used if the diversity of the swarm is below a threshold (denoted h_low) and continues until the diversity reaches the required value (h_high). The six test problems are used for numerical study. Numerical results indicate that the proposed algorithm is better than some existing PSO.

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Periodical:

Applied Mechanics and Materials (Volumes 373-375)

Pages:

1131-1134

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.373-375.1131

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Online since:

August 2013

Authors:

Wei Yi Qian, Guang Lei Liu

Keywords:

Crossover Operator, Global Optimization, Particle Swarm Optimization (PSO), Simplex Method

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