A novel chaos optimization algorithm

被引：115

作者：

Feng, Junhong ^{[1
,2
]}

Zhang, Jie ^{[1
,2
]}

Zhu, Xiaoshu ^{[1
,2
]}

Lian, Wenwu ^{[1
,2
]}

机构：

[1] Yulin Normal Univ, Sch Comp Sci & Engn, Yulin 537000, Guangxi, Peoples R China

[2] Yulin Normal Univ, Guangxi Coll & Univ Key Lab Complex Syst Optimiza, Yulin 537000, Guangxi, Peoples R China

来源：

MULTIMEDIA TOOLS AND APPLICATIONS | 2017年 / 76卷 / 16期

关键词：

Chaos; Optimization; Chaotic map; Optimization algorithm;

D O I：

10.1007/s11042-016-3907-z

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, by analyzing the best chaotic sequences generated by sixteen different chaotic maps, a novel chaos optimization algorithm is presented. It can intelligently base on different chaotic maps to select different strategies so as to map the chaotic variables into the optimization variables. For the proposed algorithm, the obtained best values, the run time, and the role of the first and the second stage search by using different chaotic maps are also analyzed and compared. The simulation results implemented on several classic test functions demonstrate that the proposed algorithm has a high performance and an outstanding efficiency.

引用

页码：17405 / 17436

页数：32

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