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冲击响应谱匹配的改进多目标遗传算法研究

曹 源1 ，汪凤泉1 ，童丽萍2   

  1. 1. 东南大学 工程力学系, 江苏 南京 210096；

    2. 郑州大学 土木工程学院，河南 郑州 450052

  • 收稿日期:2006-10-27 修回日期:2007-01-08 出版日期:2007-05-31 发布日期:2007-05-31

Improved Multi-object Genetic Algorithm for Shock Response Spectrum Match

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

  1. 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

被引次数

8

摘要： 采用改进的多目标遗传算法对冲击响应谱的匹配进行研究。改进的措施包括采用了优先级目标激活机制、构建控制种群、按照个体的优先级和分布进行选择、优化参数归一化以及混沌搜索等。文中选用子波综合法结合工程实践要求进行计算并得到最终的优化匹配波形。仿真算例验证了该算法在冲击响应谱的匹配应用中具有较高的适用性和实用性。

关键词: 冲击响应谱, 遗传算法, 匹配, 子波综合

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