基于遗传算法的水资源复杂适应配置研究  

Study on water resources complex adaptive allocation based on genetic algorithm

作　　者：牛文娟[1] 王慧敏[1] 

机构地区：[1]河海大学水文水资源与水利工程科学国家重点实验室,江苏南京210098

出　　处：《水利经济》2007年第5期8-10,16,共4页Journal of Economics of Water Resources

基　　金：国家自然科学基金资助项目(70471083;50379009);高等学校博士学科点专项科研基金资助项目(20030294008)

摘　　要：从复杂适应系统的角度来看,水资源的优化配置正是水资源系统不同层次上的主体不断学习、适应和协调的结果。因此,研究不同层次上主体的学习进化模式对于实现水资源的优化配置具有重要的意义。应用复杂适应系统理论的基本思想研究水资源优化配置问题,在建立的水资源多Agent系统概念的基础上,建立了基于遗传算法的水资源优化配置的3层演化模型,并以南水北调东线工程水资源优化配置为例进行了仿真验证。实验证明,所建立的3层演化模型是有效的。Water resources system is a complex adaptive system(CAS) with a hierarchy.According to the CAS theory,an Agent at different levels has different learning,adaptation and evolution modes.The CAS theory emphasizes that learning and adaptation behaviors of Agents at different levels are system evolution power.From the angle of CAS,water resources allocation is the result of Agents at different levels of water resources system through continuous learning,adaptation and cooperation.Therefore,it is significant to study the learning and evolution mode of Agents at different levels.The CAS theory is applied to study the problem of water resources allocation,and a CAS-based water resources allocation 3-level-evolution model is established based on the concept of water resources multi-Agent system(WRMAS).The 3-level-evolution model is simulated with the practices of the East Route of South-to-North Water Transfer Project.

关 键 词：CAS理论 AGENT 水资源优化配置 层次结构 遗传算法 演化 

分 类 号：TV213.4[水利工程—水文学及水资源]