基于区间套混沌搜索的混合优化方法  

A Hybrid Optimization Algorithm Based on Nested Intervals Chaos Search

作　　者：梁瑞鑫[1] 郑德玲[1] 

机构地区：[1]北京科技大学信息工程学院,北京100083

出　　处：《北京科技大学学报》2002年第3期342-344,共3页Journal of University of Science and Technology Beijing

基　　金：国家自然科学基金资助课题(No.69772014)

摘　　要：基于对Ｌｏｇｉｓｔｉｃ映射混沌变量概率分布的研究，提出了一种区间套混沌搜索方法，避免了混沌搜索的盲目性．将区间套混饨搜索方法与共轭梯度法结合，提出了一种混合优化方法，利用区间套混沌搜索方法搜索到近似最优点，再用共轭梯度法求得最优点．数值计算结果表明，该方法可显著提高优化效率．Based on the study of statistic property of Logistic map,the nested intervals chaos search is proposed to avoid the blindness of chaos search.By combining the nested intervals chaos search with conjugate gradient approach,a hybrid optimization algorithm is given.The hybrid algorithm uses the nested intervals cha-os search to find the approximal point of the global minimum and uses conjugate gradient approach to find the global minimum.The simulation shows that the proposed hybrid optimization algorithm can significantly im-prove the computational efficiency of global optimization.

关 键 词：混合优化方法 区间套混沌搜索 共轭梯度法 LOGISTIC映射 概率 分布 混沌变量 

分 类 号：O415.5[理学—理论物理]