摘要
将广义简约梯度法(GRG)思想应用于传统遗传算法,提出一种新的混合式遗传算法(HGA),此方法具有很强的全局和局部搜索能力,并且无需复杂的编码、解码过程,可以准确解决多变量、多峰值的给水管网现状分析问题。采用此算法,绝大多数的计算值与实测值的误差可减小到1%以下,能准确反映管网的实际工况。
The philosophy of General Reduced Gradient (GRG) method is applied to conventional Genetic Algorithm (GA) and a new Hybrid Genetic Algorithm (HGA) is proposed. This method has a powerful searching ability globally and locally, with which the issues in analyzing the current status of water distribution networks featuring more variables and more peak values can be solved accurately without any complicated coding and decoding processes. With this method, the differences between most calculated values and actually measured values can be reduced to below 1%and the actual working conditions of water distribution networks can be reflected accurately.
出处
《工业用水与废水》
CAS
2003年第1期53-55,共3页
Industrial Water & Wastewater
关键词
混合式遗传算法
给水管网
广义简约梯度法
遗传算法
water distribution
network
Hybrid Genetic Algorithm(HGA)
General Reduced Gradient (GRG)
Genetic Algorithm (GA)
