摘要
针对给水管网遗传优化设计中常规惩罚函数边界约束条件存在的问题,提出了一种能根据每代计算结果自适应调节惩罚因子的自适应惩罚遗传算法,并应用改进遗传算法寻求管网投资最小的设计方案.研究表明,应用该方法能够更有效地搜索最优解,可节约工程费用2.29%～12.01%,在工程优化设计中有一定的实用价值.
Aiming at the existing problems of boundary constraint condition of traditional-penalty genetic algorithms for the optimal design of water-supply pipe network, this paper put forward a self-adaptive penalty genetic algorithms , which can adjust the penalty factor by itself based on the calculation results of every generation, and used an improved genetic algorithm to find the least-cost optimal solutions. The study result showed that the algorithm could search the optimum solution more effectively and save the engineering cost about 2. 29% to 12.01% ,so it had great using value in the engineering optimal design.
出处
《节水灌溉》
北大核心
2007年第2期34-36,共3页
Water Saving Irrigation
关键词
自适应惩罚函数
遗传算法
给水管网
优化设计
self-adaptive penalty function
genetic algorithms
water-supply pipe network
optimal design
