基于混合遗传算法的区域大系统多目标水资源优化配置模型  

Multi-objective optimization of regional water resources based on mixed genetic algorithm

作　　者：孙月峰[1] 张胜红[2] 王晓玲[3] 梅传书[2] 

机构地区：[1]天津大学建筑工程学院,天津300072 [2]水利部海河水利委员会,天津300170 [3]天津大学环境科学与工程学院,天津300072

出　　处：《系统工程理论与实践》2009年第1期139-144,共6页Systems Engineering-Theory & Practice

基　　金：国家重点基础研究发展计划(973计划)(2007CB714101);"十一五"国家科技支撑计划项目(2006BAB04A13);国家自然科学基金(50879053);天津市应用基础及前沿技术研究计划(08JCZDJC25400)

摘　　要：针对区域水资源优化配置中重水量轻水质、重国民经济需水轻生态环境需水的特点,基于大系统总体优化配置理论与方法,综合考虑生态环境需水和水质因素,构建了基于混合遗传算法的区域大系统多目标水资源优化配置模型.运用混合遗传模拟退火算法对模型进行求解,将所提配置模型及方法应用于海河流域大清河,计算表明2010年P=50%、75%、95%时不同保证率情况下生活和生态环境需水均能满足需求,系统协调度均大于0.84.Aiming at the insufficiency of traditional water resources optimization that emphasizing water quantity while ignoring water quality, emphasizing economic water demand while ignoring ecological water requirements. Based on the theory of large scale system general optimization, the multi-objective water resources optimization model was proposed to optimize the water resources of Daqinghe in Haihe River Basin, in which the environmental water demand and water quality were considered. The mixed genetic simulated annealing algorithm was applied to solve the model. The results show that both domestic and environmental water demand can meet requirement at different guaranteed, system coordination degrees all over 0.84.

关 键 词：区域 优化配置 生态环境需水 混合遗传算法 

分 类 号：TV213.3[水利工程—水文学及水资源]