The determination of optimal design plan of the Sha-He aqueduct

Yuhe Li, X. Bai, Zeyu Wu
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引用次数: 1

Abstract

In this paper, Genetic Algorithms (GA) is adopted as the global searching methods, and the direct search method of mixed discrete variables as the local searching method. Then the GA is improved and the hybrid GA (HGA) is formed. Based on the HGA, the optimal design programs for aqueduct are developed, and used to optimize the Sha-He aqueduct. Four aqueduct design plans are obtained: 2-line double U-sectioned, 2-line U-sectioned, 2-line double Rectangle-sectioned, 2-line Rectangle-sectioned. Finally the 2-line double U-sectioned aqueduct is chosen as the best design. Optimization results show that U-sectioned aqueduct is superior to Rectangle-sectioned aqueduct in economic and safety aspects, and GA is an effective optimal design method worth of application and dissemination.
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沙河渡槽优化设计方案的确定
本文采用遗传算法作为全局搜索方法,采用混合离散变量的直接搜索方法作为局部搜索方法。然后对遗传算法进行改进,形成混合遗传算法(HGA)。在此基础上,编制了渡槽优化设计方案,并对沙河渡槽进行了优化设计。得到4种渡槽设计方案:2线双u型、2线u型、2线双矩形、2线矩形。最终选择2线双u形渡槽作为最佳设计方案。优化结果表明,u型渡槽在经济性和安全性方面均优于矩形渡槽,遗传算法是一种有效的优化设计方法,值得推广应用。
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