NDLI: Predicted Particle Swarm Optimization

Content Provider	IEEE Xplore Digital Library
Author	Zhihua Cui Jianchao Zeng Guoji Sun
Copyright Year	2006
Description	Author affiliation: State Key Lab. for Manuf. Syst. Eng., Xi'an Jiaotong Univ. (Zhihua Cui)
Abstract	The standard particle swarm optimization (PSO) may prematurely converge on suboptimal solution partly because of the insufficiency information utilization of the velocity. The time cost by velocity is longer than position of each particle of the swarm, though the velocity, limited by the constant $v_{max},$ only provides the positional displacement. To avoid premature convergence, a new modified PSO, predicted PSO, is proposed owning two different swarms in which the velocity without limitation, considered as a predictor, is used to explore the search space besides providing the displacement while the position considered as a corrector. The algorithm gives some balance between global and local search capability. The optimization computing of some examples is made to show the new algorithm has better global search capacity and rapid convergence rate
Starting Page	658
Ending Page	661
File Size	1297022
Page Count	4
File Format	PDF
ISBN	1424404754
DOI	10.1109/COGINF.2006.365563
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Particle swarm optimization Convergence Space exploration Computational efficiency Laboratories Manufacturing systems Systems engineering and theory Computational modeling Computer simulation Computer applications Exploitation capability Predicted velocity Exploration capability
Content Type	Text
Resource Type	Article

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