Position: Home > Articles > Optimal Design of Water-supply Pipe Network Based on Self-adaptive Penalty Genetic Algorithms
Water Saving Irrigation
2007
(2)
34-36
基于自适应惩罚遗传算法的给水管网优化设计
作 者：
陈俊博;周荣敏;季广辉;万耀强
单 位：
郑州大学环境与水利工程学院;河南省建筑工程学校河南省建筑职工大学设备工程系
关键词：
自适应惩罚函数;遗传算法;给水管网;优化设计
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。
译 名：
Optimal Design of Water-supply Pipe Network Based on Self-adaptive Penalty Genetic Algorithms
作 者：
CHEN Jun-bo1,ZHOU Rong-min2,JI Guang-hui2,WAN yao-qiang2(1.Plant Engineering Department,HeNan Institute of Civil Engineering and Architecture,College ofArchitecture Employee of HeNan Province,Zhengzhou 450007,China;2.School of Environment and WaterConservancy,Zhengzhou University,Zhengzhou 450002,China)
关键词：
self-adaptive penalty function;genetic algorithms;water-supply pipe network;optimal design
摘 要：
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.
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