Application of improved SA-PSO in the system error registration

Lin Zhou, Quan Pan, Yan Liang

科研成果: 期刊稿件文章同行评审

4 引用 (Scopus)

摘要

System error is change in some fusion system. In order to resolve the problem of system error registration, this paper combine improved Particle Swarm Optimization (PSO) with Simulated Annealing (SA). This method integrates the capacity of fast optimization seeking in improved PSO with the characteristic of probabilistic leap in S A, which not only solves the defect that PSO easily plunges into local optimum, but also ensures population variety and avoids population degradation. The simulations show that compared with PSO and GA, improved SA-PSO has better precision in system error registration.

源语言英语
页(从-至)27-31+38
期刊Guangdian Gongcheng/Opto-Electronic Engineering
37
9
DOI
出版状态已出版 - 9月 2010

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