多族群粒子群优化算法导弹结构模型修正

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振动与冲击 ›› 2013, Vol. 32 ›› Issue (17) : 79-83.

论文

多族群粒子群优化算法导弹结构模型修正

于开平刘荣贺

作者信息 +

Model updating of a missile structure based on the MRPSO

Yu Kaiping Ronghe Liu

Author information +

文章历史 +

摘要

本文针对粒子群优化（PSO）算法极易陷入局部最优的缺陷，提出了一种多族群粒子群优化算法（MRPSO），该算法具有较强的全局搜索能力，能极大地降低搜索陷入局部最优的概率。并将该算法引入到有限元模型修正中，对某型号导弹全弹结构进行了优化修正，修正后结构的固有频率都有了非常明显的改善，证实了MRPSO算法的有效性及工程应用价值。

Abstract

With regard to the defect that the Particle Swarm Optimization (PSO) algorithm is easy to fall into local optimum, the author put forward a multi-race particle swarm optimization (MRPSO) algorithm, which has strong global search ability, and can greatly reduce the probability of the search falling into a local optimum. And then, introduced the algorithm into the finite elment model updating, and utilized it to optimize a type of missiles. After the optimization, the natural frequencies had a very marked improvement, which proved the effectiveness and value of engineering application of the MRPSO algorithm.