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基因演算法於二維潛翼之最佳形狀設計

Design Optimization of Two-Dimensional Hydrofoil by the Application of Genetic Algorithm

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。

關鍵字

基因演算法 潛翼 最佳形狀

並列摘要


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.

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