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Modified attractive and repulsive particle swarm optimization
改进的吸引扩散微粒群算法

Keywords: particle swarm optimization,swarm diversity,particle's best flight direction,convergence
微粒群算法
,种群多样性,微粒最好飞行方向,收敛

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Abstract:

To avoid the premature convergence,based on the attractive and repulsive particle swarm optimizer(ARPSO),we propose a novel measure function for the population diversity,and a new concept of the particle's best flight direction.A modified ARPSO(MARPSO)is proposed by introducing a mutation strategy.Moreover,theoretical analysis has been made to prove that the algorithm can guarantee local convergence and global convergence.By comparing the simulation results of four classic testing functions with basic PSO(B...

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