净水技术Issue(4)：67-71,5.
基于混合遗传算法的城市再生水系统优化探索
Exploration of Optimization in Urban Reclaimed Water System Based on Hybrid Genetic Algorithm
摘要
Abstract
An investment mathematical model was founded,which consisted of charges of wastewater collection,wastewater treatment and reclaimed water utilization. The mathematical model contained nine functions,namely,investment regression equation of block wastewater networks,investment regression equation of wastewater trunk main networks,investment regression equation of wastewater pump stations,investment regression equation of reclaimed water plants,investment regression equation of block reclaimed water networks,investment regression equation of reclaimed water trunk main networks,investment regression equation of reclaimed water pump stations,operation cost function of lifting wastewater and operation cost function of reclaimed water pump stations. Hybrid genetic algorithm was applied to solve the mathematical model. The results show the ideal serving area scope of an urban reclaimed water plant is 10~16 km2 and the cost of reclaimed water is 1. 59~2. 03 yuan/m3 ,which is the optimal operation condition.关键词
再生水系统/混合遗传算法/优化Key words
reclaimed water system/hybrid genetic algorithm/optimization分类
建筑与水利引用本文复制引用
唐瑶,李碧清,张杰..基于混合遗传算法的城市再生水系统优化探索[J].净水技术,2014,(4):67-71,5.基金项目
住建部科技攻关计划项目 （）
