摘要
以遗传算法为全局搜索方法,以混合离散变量的直接搜索与查点法为局部搜索方法,对遗传算法改进而形成了混合遗传算法。研制开发了基于混合遗传算法的渡槽结构优化设计程序。对于沙河渡槽进行了优化设计,得到了U形断面4槽、2槽和矩形断面4槽、2槽共4种槽型方案。从中确定U形断面4槽方案为最优方案,并被设计单位采用。优化结果表明:U形渡槽的经济性和安全性优越于矩形渡槽;遗传算法是一个很有推广应用价值的优化设计方法。
The 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 GAs is improved and the hybrid GA-based optimal design programs are developed,and used to optimize the Shahe 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 GAs are effective optimal design methods worth of application and dissemination.
出处
《南水北调与水利科技》
CAS
CSCD
2009年第6期350-352,358,共4页
South-to-North Water Transfers and Water Science & Technology
基金
国务院南水北调办公室工程建设监管中心委托项目:南水北调工程建设重大关键技术研究及应用"大型渡槽施工和运营期动态跟踪
温度荷载及动力分析研究"(JGZXJJ2006-10)
关键词
混合遗传算法
结构优化
沙河渡槽
U形断面渡槽
矩形断面渡槽
hybrid genetic algorithms
structural optimization
Shahe aqueduct
U-type aqueduct
rectangular aqueduct
