基因演算法于二维潜翼之最佳形状设计-宜兰大学.PDF

國立宜蘭大學工程學刊(2005) 第一期 第 75～80 頁 基因演算法於二維潛翼之最佳形狀設計 歐陽慧濤1 喻新2 國立宜蘭大學土木工程學系助理教授 國立宜蘭大學土木工程學系副教授 摘 要 本文主要目的在應用基因演算法發展一套自動化設計方法以搜尋二維潛翼的最佳斷面形狀。本文發展一套適當 方法將潛翼形狀轉換為一組參數，經轉換後，尋找最佳潛翼形狀的程序，成為求解此參數的最佳化問題。而此最佳 化問題之求解，則應用本文發展之改良型基因演算法不斷演化而得。最後結果顯示，以此方法所獲得之潛翼最佳形 狀效率非常良好，不但擁有高昇力，且其阻力亦相當低。 關鍵詞 ：基因演算法、潛翼、最佳形狀 Design Optimization of Two-Dimensional Hydrofoil by The Application of Genetic Algorithm Huei-Tau Ouyang1 Hsin Yu2 1. Assistant professor Department of civil engineering, National Ilan university 2. Associate professor Department of civil engineering, National Ilan university ABSTRACT A numerical procedure for shape optimization of a 2D hydrofoil by means of a genetic algorithm is described. A formula utilizing two Bezier splines for the construction of the foil shape is introduced. The search for the optimal shape is translated to one of determining the coordinates of the vertex points of the two Bezier splines which control the upper and lower surface of the foil. A Modified Genetic Algorithm (MGA) is developed to serve as an optimization tool. The developed methodology is applied to the determination of hydrofoil shapes under a proper objective function. The shape produced by the genetic algorithm yields fairly good performance with high lift and low drag. Key Words: genetic algorithm, hydrofoil, design optimization 75 國立宜蘭大學工程學刊 第一期 前 言 演算法求解此二維潛翼的最佳化形狀，此最佳潛翼必須 在產生高昇力的同時仍然能保持低阻力。本文依據此目