【作者】 柳贺； 黄猛； 黄道；

【Author】 LIU He, HUANG Meng,HUANG Dao (National Engineering Research Center for Industrial Automation, East China University of Science and Technology, Shanghai 200237,China)

【机构】 华东理工大学工业自动化国家工程研究中心；

【摘要】 混沌是非线性系统中的一种较为普遍的现象,混沌现象具有随机性、遍历性和规律性的特点。在优化设计领域中,混沌现象的遍历性特点可以作为搜索过程中避免陷入局部极小的一种优化机制。目前混沌已经成为一种新颖的全局优化技术,基于混沌搜索的优化方法的研究受到了人们的重视。通过改进混沌搜索方法本身或是结合模拟退火、遗传等算法,优化性能获得提高。该文在大量文献的基础上,对基于混沌搜索的优化方法及其研究进展进行了总结。更多还原

【Abstract】 Chaos is a universal phenomenon in nonlinear system. Chaos phenomenon has stochastic property, ergodicity and regularity. In the optimization area, the ergodic property can be used as an optimization mechanism to escape from local optimums. Chaos has been a kind of novel global optimization technique. People pay much attention to the research of the optimization method based on the chaotic search, By improving the method or combining it with other methods, such as simulated annedling, genetic algorithm, etc. , the optimization performance has been improved greatly. Based on the larg numbers of references,this paper gives a survey on the optimization method based on chaotic search and its recent research developments.更多还原