Combined fitness function based particle swarm optimization algorithm for system identification
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- 作者：Jianshan Lu lujianshan@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Weidong Xie xwd@zjut.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Hongbo Zhou ; paper_Lu@163.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：System identification ; PSO ; Combined fitness function ; GARG ; Entropy method
- 刊名：Computers & Industrial Engineering
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：95
- 期：Complete
- 页码：122-134
- 全文大小：4252 K
文摘
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We focus on the limitation of fitness function with the squared error in PSO.
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A combined fitness function based PSO algorithm is proposed.
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It employs entropy method to combine two measures, MSE and GARG.
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Results show that it’s feasible for system identification.