Improved Harmony Search Algorithm for Global Optimization

被引:0
|
作者
Li, Guojun [1 ]
Wang, Hongyu [1 ]
机构
[1] Anshan Normal Univ, Dept Phys, Anshan 114005, Peoples R China
关键词
Harmony search algorithm; swarm ntelligence; local search; elitist preservation;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Harmony search (HS) algorithm, applied in many fields, is a new population algorithm, which imitates magically the phenomenon of musical improvisation process. However, it has a potential shortage, which is easily trapped into local optima when searching for global optima. To solve this problem, a hybrid harmony search algorithm (HHS) is promoted, which is based on the conception of swarm intelligence HHS employed a local search method to replace the pitch adjusting operation, and designed an elitist preservation strategy to modify the selection operation. Expeliment results demonstrated that the proposed method performs much better than the HS and its improved algorithms (IHS, GHS and NGIIS).
引用
收藏
页码:864 / 867
页数:4
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