91制片糖心vlog玩偶传媒|91传媒天美传媒|亚洲成人久久精品国产|麻豆文化传媒免费欢迎你|91麻豆视频高清|采访麻豆传媒映画拍AV|国产天美传媒国产原创av剧情|91制片厂果冻传了|国产色多多网站|天美传媒欧美av果冻传媒,亚洲精品在线视频,蜜桃影像传媒牛年贺岁,亚洲精品一区在线看

GA-PSO組合算法模型修正

The modal updating by GA-PSO hybrid algorithm

  • 摘要: 文章在遺傳算法（GA）和粒子群算法（PSO）的基礎(chǔ)上，介紹了GA-PSO組合算法的流程和模態(tài)修正適應(yīng)度函數(shù)的確定，并利用該算法對一個5層鋼架結(jié)構(gòu)模型進行修正，證實了該算法能有效修正模型。該算法能在前期利用GA算法進行高效全局搜索，后期利用PSO算法進行細致局部搜索，與單獨使用PSO算法和GA算法相比，該組合算法修正效率和精度更高。

     

    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.

     

    • HTML全文

/

返回文章
返回