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A study of acceleration coefficients in particle swarm optimization algorithm based on CPSO

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Low convergence accuracy and the acceleration coefficient setting problem have always been the difficult and hot research points of particle swarm optimization algorithm. This paper introduces a composite particle swarm optimization CPSO based on the adaptive PSO and adaptive GA and applies CPSO in the BP network training of turbo-pump fault diagnosis. In addition, the classical test function Rastrigrin is performed to test the performance of CPSO. The simulation results show that CPSO has obvious advantages over other optimization algorithms in terms of convergence accuracy and the law of acceleration coefficient setting is summed up through the analysis of the simulation results of acceleration coefficient distribution.

源语言英语
主期刊名2nd International Conference on Information Engineering and Computer Science - Proceedings, ICIECS 2010
DOI
出版状态已出版 - 2010
活动2nd International Conference on Information Engineering and Computer Science, ICIECS 2010 - Wuhan, 中国
期限: 25 12月 201026 12月 2010

出版系列

姓名2nd International Conference on Information Engineering and Computer Science - Proceedings, ICIECS 2010

会议

会议2nd International Conference on Information Engineering and Computer Science, ICIECS 2010
国家/地区中国
Wuhan
时期25/12/1026/12/10

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