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（同濟(jì)大學(xué)結(jié)構(gòu)工程與防災(zāi)研究所， 上海 200092）
［摘要］遺傳算法作為一種用于求解最優(yōu)解的高效、并行、全局搜索方法，現(xiàn)在已經(jīng)廣泛應(yīng)用在結(jié)構(gòu)優(yōu)化等領(lǐng)域。在總結(jié)遺傳算法在結(jié)構(gòu)優(yōu)化應(yīng)用的基礎(chǔ)上，從遺傳算法改進(jìn)和目標(biāo)函數(shù)研究等方面闡述了遺傳算法在消能減震結(jié)構(gòu)優(yōu)化中的應(yīng)用現(xiàn)狀；給出了基于遺傳算法和SAP2000 API功能的聯(lián)合優(yōu)化方法；最后提出了遺傳算法在消能減震結(jié)構(gòu)優(yōu)化中的主要問(wèn)題和發(fā)展展望。
［關(guān)鍵詞］遺傳算法； 消能減震； SAP2000 API； 優(yōu)化研究
中圖分類號(hào)： TU352.1 文獻(xiàn)標(biāo)識(shí)碼： A 文章編號(hào)： 1002-848X(2015)S2-0461-07
Reviews of optimization study on energy dissipation structures based on genetic algorithm
Li Junwei, Weng Dagen, Zhang Ruifu
(Research Institute of Structural Engineering and Disaster Reduction， Tongji University， Shanghai 200092， China)
Abstract: As an effective method in finding the global optimum, genetic algorithm (GA) is widely used in the structure optimization and other fields. It is of global convergence and parallelism. Based on the summary of application of GA in structure optimization, the application of GA in the energy dissipation structure was discussed from the aspects of some improved genetic algorithms and objective functions. Then, a combined optimization method based on GA and SAP2000 API was given. Some suggestions and prospects of the optimization of GA in the energy dissipation were presented.
Keywords: genetic algorithm; energy dissipation; SAP2000 API; optimization study
作者簡(jiǎn)介：李俊衛(wèi)，碩士研究生，Email:ljwup@hotmail.com。
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