Title: Particle swarm optimization based on periodic evolution strategy
Abstract: To overcome the problem of premature convergence frequently appeared in standard particle swarm optimization(PSO) algorithm,an improved PSO algorithm based on periodic evolution strategy(PSO-PES) is proposed.Thus, the problem of premature convergence of the PSO algorithm is prevented.The local search ability and global search ability are enhanced by an adaptive function based on the information of velocities of the particles.Simulations results for several typical test functions show that PSO-PES possesses more powerful global search capabilities,better convergence rate and better performance of optimization.
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
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