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多族群粒子群优化算法飞行器结构模型修正

Kai-ping YU,Rong-he LIU

Zhendong yu Chongji/Journal of Vibration and Shock（2013）

Cited 2|Views6
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Abstract
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,对某型号飞行器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.
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Key words
Model updating,Multi-race particle swarm optimization (MRPSO) algorithm,Optimization,Spacecraft structure
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