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    Title: 結合基因演算法與線性規劃法於結構最佳化設計
    Other Titles: Optimum Design of Structures by Methods of Genetic Algorithm and Linear Programming
    Authors: 張永康;劉敬文;陳宣辰
    Contributors: 淡江大學航空太空工程學系
    Keywords: 基因演算法;線性規劃法;靈敏度分析;Genetic Algorithm;Linear Programming;Sensitivity Analysis
    Date: 2010
    Issue Date: 2013-03-22 19:39:02 (UTC+8)
    Publisher: 臺北縣淡水鎮 : 淡江大學航空太空工程學系
    Abstract: 本研究是結合基因演算法與線性規劃法兩種不同的最佳化方法於結構最佳化設計之研究。利用基
    自演算法全域隨機搜尋的特性,並以亂數作全域隨機搜尋避免落入區域最佳解。接著使用基因演算法
    求得之結果再利用逐次線性規劃法找尋是否有更佳解。本研究以ANSYS 有限元素分析軟體中的APDL
    語法與FORTRAN 程式結合成一系統程式。並以五個不同範例執行結構最佳化設計,數值範例中將對
    各種結構作分析與討論。範例中可驗證結合基因演算法與線性規劃法於結構之最佳化設計上可以得到
    平錯的結果。
    Genetic Algorithm (GA) system and Sequential Linear Programming (SLP) were used for structural
    optimization in this study. The advantage of Genetic Algorithm is that it has multi-point search strategy
    instead of one-point search to find the global optimum in a space. The ability of Genetic Algorithm is that it
    can jump over the local optimum and obtain the global optimum. After the solution of Genetic Algorithm
    was obtained, we can use Sequential Linear Programming to find whether there is a better solution. Since
    sensitivity can provide the optimal search direction, the central difference method was used in sensitivity
    analysis.
    Relation: 第七屆海峽兩岸航空太空學術研討會論文集,頁329-336
    Appears in Collections:[航空太空工程學系暨研究所] 會議論文

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