An improved krill herd algorithm: Krill herd with linear decreasing step

被引:34
|
作者
Li, Junpeng [1 ,2 ]
Tang, Yinggan [1 ]
Hua, Changchun [1 ]
Guan, Xinping [1 ,2 ]
机构
[1] Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Peoples R China
[2] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金; 国家教育部博士点专项基金资助;
关键词
Swarm intelligent algorithms; Krill herd; Optimization; Linear decreasing; OPTIMIZATION;
D O I
10.1016/j.amc.2014.01.146
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Krill herd (KH) inspired by the herding behavior of the krill individuals is a new swarm intelligent algorithm which is proved to perform better than other swarm intelligent algorithms. However, there are some weak points yet. In this paper, we analyze a deficiency of KH which cannot achieve the excellent balance between exploration and exploitation in optimization processing and proposed an improved KH-krill herd with linear decreasing step (KHLD). Twenty benchmark functions are used to verify the effectiveness of these improvements and it is illustrated that, in most cases, the performance of KHLD is superior to the standard KH. (c) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:356 / 367
页数:12
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