【摘要】 利用混沌 (chaos)所特有的外在的随机性、遍历性及内在的规律性 ,将其应用于一类复杂非线性时变过程的模糊控制规则优化中 ,提出了一种基于混沌思维的算法来优化模糊规则参数 .通过仿真实例 ,表明了该算法具有较强的全局搜索能力和较快的搜索速度 ,是一种适用的优化策略 .更多还原

【Abstract】 Based on the latest theory of chaos, a novel optimization algorithm is proposed that is called chaos optimization algorithm (COA). The paper used COA successfully optimizing the fuzzy control rules’ parameters for a complex system with nonlinear and time variation. The simulation result showed that COA has high speed and can easily obtain the global minimum.\;更多还原