應用蝙蝠演算法於結構最佳化設計之研究

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Title:	應用蝙蝠演算法於結構最佳化設計之研究
Other Titles:	Optimum design of structures by bat algorithm
Authors:	陳炫光;Chen, Xuan-Guang
Contributors:	淡江大學航空太空工程學系碩士班張永康;Chang, Yeong-Kang
Keywords:	蝙蝠演算法;最佳化設計;Batalgorithm;OptimumDesign
Date:	2016
Issue Date:	2017-08-24 23:52:20 (UTC+8)
Abstract:	本論文應用蝙蝠演算法於結構最佳化設計中。蝙蝠演算法是一種模仿自然界蝙蝠覓食行為進行搜尋最佳解之方法，經由將蝙蝠捕食獵物之過程透過數學轉換為一仿生最佳化演算法，該法特點為高準確性、搜尋範圍廣、不易落入區域最佳解。蝙蝠演算法利用蝙蝠特有的回聲定位法，使其能藉由頻率、響度、脈衝發射率三者之間的改變，進行大範圍之搜尋並在滿足各種限制之條件後，進行最佳解的選擇，進而得到全域最佳解。本研究將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，並以六種不同的範例執行結構最佳化設計。範例中將結構最佳化問題轉為數學函數，再利用蝙蝠演算法對結構系統執行最佳化設計。由數值分析範例之結果，發現將蝙蝠演算法應用於結構最佳化設計上可得到不錯的結果。 The Bat algorithm was applied to the optimum design of structures in this study. The Bat algorithm is swarm intelligence based optimization technique inspired by the intelligent foraging behavior of bats. The Bat algorithm, based on the echolocation behavior of bats searching for the optimum in a design space. The proposed algorithm finds the distance between each bat and guides the bat’s movement by the bat position and velocity. With the help of frequency, loudness and pulse rate parameters during the search process, the global optimum design can be obtained efficiently. The FORTRAN and APDL of ANSYS software are integrated into a systematic Bat optimization program. The optimization problem can be transformed into a mathematical function. Minimum weight design will be developed in six numerical examples. Then the optimum deign of structures can be obtained by Bat algorithm. The results of Bat algorithm are better than other reference in the examples.
Appears in Collections:	[Graduate Institute & Department of Aerospace Engineering] Thesis

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