| GA-PSO组合算法模型修正 |
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| 引用本文： | 秦玉灵,孔宪仁,罗文波.GA-PSO组合算法模型修正[J].航天器环境工程,2009,26(4):383-385. |
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| 作者姓名： | 秦玉灵 孔宪仁 罗文波 |
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| 作者单位： | 1. 哈尔滨工业大学,卫星技术研究所,哈尔滨,150001
2. 中国空间技术研究院,北京,100094 |
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| 基金项目： | "微小型航天器系统技术"长江学者创新团队发展计划课题 |
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| 摘 要： | 文章在遗传算法(ga)和粒子群算法(pso)的基础上,介绍了ga-pso组合算法的流程和模态修正适应度函数的确定,并利用该算法对一个5层钢架结构模型进行修正,证实了该算法能有效修正模型.该算法能在前期利用ga算法进行高效全局搜索,后期利用pso算法进行细致局部搜索,与单独使用pso算法和ga算法相比,该组合算法修正效率和精度更高.
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| 关 键 词： | 遗传算法 粒子群算法 组合算法 模型修正 |
| 收稿时间： | 2008/11/25 0:00:00 |
| 修稿时间： | 2009/6/17 0:00:00 |
The modal updating by GA-PSO hybrid algorithm |
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| Qin Yuling,Kong Xianren and Luo Wenbo.The modal updating by GA-PSO hybrid algorithm[J].Spacecraft Environment Engineering,2009,26(4):383-385. |
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| Authors: | Qin Yuling Kong Xianren and Luo Wenbo |
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| Institution: | Research Institute of Satellite Technology, Harbin Institute of Technology;Research Institute of Satellite Technology, Harbin Institute of Technology;China Academy of Space Technology |
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| Abstract: | The paper presents the computation flow of GA-PSO (Genetic Algorithms-Particles Swarm Optimization) hybrid algorithm and the fitness function determination for modal updating based on GA (Genetic Algorithms) and PSO (Particles Swarm Optimization) algorithms. A five-layer steel frame construction is used as an example and it is shown that this method enjoys a high efficiency. The GA-PSO algorithm uses the GA to efficiently search for the global-optimization solution at an early stage, and on the basis of the GA solution, the PSO algorithm is used to intensively search for the local-optimization solution at a later stage. Comparing with the PSO and GA, GA-PSO algorithm enjoys higher updating efficiency and precision. |
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| Keywords: | genetic algorithms particles swarm optimization hybrid algorithm model updating |
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