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Evolutionary computation based on the idea of biologic evolution is one type of global optimization algorithm that uses self-adaptation, self-organization and random searching to solve optimization problems. The evolutionary-simplex algorithm is introduced in this paper. It contains floating encoding which combines the evolutionary computation and the simplex algorithm to ovcrcomc the problems encountered in the genetic algorithm and evolutionary strategy methods.Numerical cxpcrimcnts arc performed using seven typical functions to verify the algorithm. An inverse analysis method to identify structural physical parameters based on incomplete dynamic responses obtained from the analysis in the time domain is prcscntcd by using the evolutionary-simplex algorithm. The modal evolutionary-simplex algorithm converted from the time domain to the modal domain is proposed to improve the inverse efficiency. Numerical calculations for a 50-DOF system show that whcn compared with other methods, the evolutionary-simplex algorithm offers advantages of high precision,cfficient searching ability, strong ability to resist noise, independence of initial value, and good adaptation to incomplete information conditions.  相似文献   
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曾迪  朱金  何深静 《热带地理》2021,41(3):449-460
选取新加坡和深圳的3个城中村作为实证研究对象,从文化身份的理论视角切入,剖析移民城市的城中村更新的文化塑造过程;指出要理解文化身份的内涵与本质,需要理解地方蕴含的全球性与在地性、过去与现在这两组关系.在解读宏观文化政策的内在政治和经济推动力的基础上,基于参与式观察和半结构化访谈资料,运用质性分析方法,比较探讨典型移民城...  相似文献   
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