Computer Science ›› 2015, Vol. 42 ›› Issue (Z6): 48-51.

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Adaptive Particle Swarm Optimization Algorithm with Shrink and Expansion Operation

ZHAO Zhi-gang, YIN Zhao-yuan and LIN Yu-jiao   

  • Online:2018-11-14 Published:2018-11-14

Abstract: An adaptive particle swarm optimization algorithm with shrink and expansion operation was presneted,which can adaptively choose the behavior of the particle by detecting the degree of convergence during running.These two operations make particle swarm converge to extreme point and jump out of it quickly,and the evolutionary status of the population make them convert between these two operations adaptively .Experimental data show this algorithm has strong ability to get rid of the local optima and approach to global optima,especially in tackling the problem of high dimension multimodal function.

Key words: Particle swarm optimization,Shrink operation,Expansion operation,Adaptive detection

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