Title: An Improved Particle Swarm Optimization Algorithm
Abstract: Particle swarm optimization(PSO) is a new evolutionary computation method,which has been successfully applied to many fields.But the standard particle swarm optimization is used resulting in premature convergence.An improved particle swarm optimization is presented.Using differential evolution strategy,it can make the solution jump out of the local minimum point.The experimental results of classic functions show that the improved PSO is efficient and feasible.
Publication Year: 2007
Publication Date: 2007-01-01
Language: en
Type: article
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Cited By Count: 7
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