冲击响应谱匹配的改进多目标遗传算法研究

Journal of Applied Sciences

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Improved Multi-object Genetic Algorithm for Shock Response Spectrum Match

CAO Yuan1, WANG Feng-quan1, Tong Li-ping2

1. Department of Mechanics, Southeast University, Nanjing 210096, China；
2. Department of Civil Engineering, Zhengzhou University, Nanjing 450052, China

Received:2006-10-27 Revised:2007-01-08 Online:2007-05-31 Published:2007-05-31

Abstract

Abstract: Improved multi-object genetic algorithm (IMGA) is used to study the matching technique of shock response spectrum (SRS). The improvements include using priority objective-active mechanism, building control group, selecting individual by the priority and distributing, unitizing parameters, and searching in chaos. Considering the practical need, a wavelet synthesis method is used to compute and optimized result is obtained. Simulation shows that IMGA is highly applicable and practical in the matching technique of SRS.

Key words: shock response spectrum (SRS), genetic algorithm (GA), matching, wavelet synthesis

CAO Yuan;WANG Feng-quan;Tong Li-ping. Improved Multi-object Genetic Algorithm for Shock Response Spectrum Match [J]. Journal of Applied Sciences.

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