基于Kent映射的混合混沌优化算法

被引：17

作者：

刘建军 ^{[1
]}

石定元 ^{[2
]}

武国宁 ^{[1
]}

机构：

[1] 中国石油大学理学院

[2] 北京航空航天大学电子信息工程学院

来源：

计算机工程与设计 | 2015年 / 36卷 / 06期

关键词：

Kent映射; 混沌优化; 单纯形法; 全局最优; 变尺度;

D O I：

10.16208/j.issn1000-7024.2015.06.018

中图分类号：

TP301.6 [算法理论];

学科分类号：

081202 ;

摘要：

针对混沌优化算法易陷入局部最优、收敛慢和精度低的缺点,提出一种改进的变尺度混合混沌优化算法。为保证算法的全局收敛性,采用具有更好遍历性的Kent混沌映射代替传统的Logistic混沌映射;为提高收敛速度和解的精度,引入新的变尺度因子,在搜索最优解的末期使用Nelder-Mead单纯形法。通过数值实验对相关的4种算法进行比较,比较结果表明,该算法可以保证解的全局最优性、提高算法的收敛速度并提高获得的最优解精度。

引用

页码：1498 / 1503

页数：6

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