基于粒子群算法的水环境规划演化博弈分析  

Evolutionary game analysis of water environment control system programming based on PSO

作　　者：钟锦[1] 汪家权[1,2] 

机构地区：[1]合肥工业大学管理学院,安徽合肥230009 [2]合肥工业大学资源与环境工程学院,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2009年第2期155-158,共4页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(50379003);安徽省自然科学基金资助项目(03045306)

摘　　要：水环境控制规划系统具有结构、环境、行为等方面的开放性、动态、涌现等非线性的复杂性特征,该文基于群智能理论的改进PSO算法对非线性水污染控制系统动态博弈过程进行求解分析;以期实现非线性水污染控制系统规划全局最优化求解的高效性。The water environment control and programming system has complex and non-linear characteristics such as openess, dynamics, emergence in terms of structure, environment, behavior and so on. This paper analyzes the dynamic game process of the non-linear water environment programming system by means of the improved particle swarm optimization algorithm which is based on the swarm intelligence theory so as to realize the high efficiency of optimization of the nonlinear water environment programming system in an all-round way.

关 键 词：PSO算法 非线性水污染控制规划 演化博弈 

分 类 号：X11[环境科学与工程—环境科学]