Title: Particle Swarm Optimization based on adaptive disturbance
Abstract: In order to avoid premature convergence of Particle Swarm Optimization(PSO),a new PSO algorithm based on Adaptive Disturbance(ADPSO)is proposed to help trapped particles escape from local minima.Experiments are conducted on nine multimodal functions,including four rotated functions,to verify the effectiveness of ADPSO.Simulation results demonstrate that this approach outperforms five other PSO algorithms.
Publication Year: 2014
Publication Date: 2014-01-01
Language: en
Type: article
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