基于遗传禁忌混合算法的重力坝断面优化设计  

Optimization Design of Gravity Dam Section Based on Genetic Taboo Hybrid Algorithm

作　　者：葛选辉 GE Xuan-hui(Feixian County Water Conservancy Engineering Guarantee Center,Linyi 273400,Shandong,China)

机构地区：[1]费县水利工程保障中心,山东临沂273400

出　　处：《水利科技与经济》2025年第3期55-60,共6页Water Conservancy Science and Technology and Economy

摘　　要：研究建立重力坝断面优化设计数学模型,采用遗传与禁忌搜索(GA-TS)混合算法对其进行优化求解。同时,对溢流坝和非溢流坝的断面尺寸设计和断面数值进行研究,并采用GA-TS算法分别对其进行优化设计,结果表明,优化后坝体变形不大,最大拉应力与压应力均符合设计要求,面积优化率分别为12.9%和6.04%,验证了GA-TS算法的可行性。Establish a mathematical model for optimizing the design of gravity dam cross-section,and use a hybrid algorithm of genetic and taboo search(GA-TS)to optimize and solve it.A study was conducted on the cross-sectional size design and numerical values of overflow and non overflow dams,and the GA-TS algorithm was used to optimize their design.The results showed that the deformation of the dam body was not significant after optimization,and the maximum tensile and compressive stresses met the design requirements.At the same time,the area optimization rates were 12.9%and 6.04%,respectively,verifying the feasibility of the GA-TS algorithm.

关 键 词：重力坝 断面优化设计 遗传禁忌混合算法 对比分析 

分 类 号：TV641[水利工程—水利水电工程]