Improved Harmony Search Algorithm with Perturbation Strategy

被引：0
|
作者：
Zhang, Ping [1 ]
Ouyang, Haibin [2 ]
Gao, Liqun [2 ]
机构：
[1] Anshan Normal Univ, Dept Phys, Anshan 114005, Peoples R China
[2] LiaoNing Prov Coll Commun, Dept Informat Engn, Shenyang 110122, Peoples R China
来源：
2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2015年
关键词：
Harmony search algorithm; Perturbation strategy; Opposition-based learning; Elite memory;
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 is a population-based meta-heuristic algorithm, which is conceptualized using the musical improvisation process of searching for a perfect state of harmony. In this paper, an improved harmony search algorithm with perturbation strategy is proposed to enhance the global and local search ability of HS algorithm. A perturbation strategy is presented to improve global search capability. Local opposition-based learning is used to replace pitch adjustment, which aims to enhance local search ability. In addition, elite memory is designed to further escape local minima. Numerical results indicated that the proposed IHSP algorithm has better performance than the state-of-the-art HS algorithms.
引用
收藏
页码：5321 / 5326
页数：6
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