摘要
模糊规则的优化过程为前件选择后件的过程,是一个组合优化问题,应用蚁群算法对模糊规则进行优化。仿真结果显示了蚁群算法应用于优化模糊规则的可行性和有效性,扩大了蚁群算法的应用范围,也为模糊控制器的设计提供了新的思路。
Ant colony algorithm is a novel simulated evolutionary algorithm.It provides a new method to solve the complex combined optimization problem.This paper takes advantage of the ant colony algorithm to optimize the fuzzy control rules,which can settle the problem of designing fuzzy controller without the expert experience.The simulation shows the favorable result and proves the feasible of the algorithm application.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第5期113-115,共3页
Computer Engineering and Applications
基金
江苏省国际合作项目(BZ2005035)
江苏大学高级技术人才科研基金(GDG2003004)。
关键词
蚁群算法
模糊控制
规则优化
组合优化
ant colony algorithm
fuzzy control
fuzzy rules optimization
combined optimization
