Chaotic Krill Herd algorithm

被引：484

作者：

Wang, Gai-Ge ^{[1
]}

Guo, Lihong ^{[2
]}

Gandomi, Amir H. ^{[3
]}

Hao, Guo-Sheng ^{[1
]}

Wang, Heqi ^{[2
]}

机构：

[1] Jiangsu Normal Univ, Sch Comp Sci & Technol, Xuzhou 221116, Jiangsu, Peoples R China

[2] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Peoples R China

[3] Univ Akron, Dept Civil Engn, Akron, OH 44325 USA

来源：

INFORMATION SCIENCES | 2014年 / 274卷

关键词：

Global optimization problem; Krill Herd; Chaotic maps; Multimodal function; DIFFERENTIAL EVOLUTION ALGORITHM; OPTIMIZATION ALGORITHM; GLOBAL OPTIMIZATION; DESIGN OPTIMIZATION; STRATEGY;

D O I：

10.1016/j.ins.2014.02.123

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recently, Gandomi and Alavi proposed a meta-heuristic optimization algorithm, called Krill Herd (KH). This paper introduces the chaos theory into the KH optimization process with the aim of accelerating its global convergence speed. Various chaotic maps are considered in the proposed chaotic KH (CKH) method to adjust the three main movements of the krill in the optimization process. Several test problems are utilized to evaluate the performance of CKH. The results show that the performance of CKH, with an appropriate chaotic map, is better than or comparable with the KH and other robust optimization approaches. (C) 2014 Elsevier Inc. All rights reserved.

引用

页码：17 / 34

页数：18

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