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.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
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)
关键词
PSO算法
非线性水污染控制规划
演化博弈
particle swarm optimization（PSO）
nonlinear water pollution control and programming
evolutionary game
