Genetic algorithm combined with immune mechanism and its application in skill fuzzy control
Automation of skill fuzzy control system is an important research aspect of fuzzy control fields. Its significant for those control instances consisted in production and peoples daily life. But, how to control a system not movement or behavior rules but only relied on movement parameters, that problem still had not be resolved. This paper proposes a new method used a genetic algorithm based on immune mechanism to learn the degree of membership, at same time, simplifying the corresponding movement equation. its efficiency will be indicated by an example.
immune GA affinity function problem space and GA space skill fuzzy control.
Pan Wei Zhang Bencheng Zhu Lina
Electric Detection Department,Shenyang Artillery Academy,Shenyang 110162,China Computer Center,Shenyang Artillery Academy,Shenyang 110162,China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
4870-4874
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）