摘要
研究了利用微粒群算法求解大型线性、非线性方程组的问题。并提出了将微粒群算法看作被控对象,引入控制器,利用适应值函数的信息调节惯性权重,以改变动态进化行为,提高算法性能来解决方程组的求解问题。数值实例显示了方法的优越性。
Particle Swarm Optimization with controller for solving large-scale systems of equations is proposed in this paper.To control the dynamic evolutionary behavior,controller is inducted within the algorithm.Using the technique can enhance the performance of PSO to solution systems of equations in searching the parameter space.Finally,some numerical tests are given to show the effectiveness of the method.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第12期45-47,80,共4页
Computer Engineering and Applications
关键词
微粒群算法
方程组
控制器
偏差
Particle Swarm Optimization
equations
.controller
windage
