An Improved Adaptive Harmony Search Algorithm

被引：0
|
作者：
Kong, Zhi [1 ]
Wang, Lifu [1 ]
Wu, Zhaoxia [1 ]
Qi, Shiqing [1 ]
Zou, Dexuan [2 ]
机构：
[1] Northeastern Univ, Dept Automat & Engn, Qinhuangdao 066004, Hebei, Peoples R China
[2] Xuzhou Normal Univ, Sch Elect Engn & Automat, Xuzhou 221116, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012) | 2012年
关键词：
Harmony Search Algorithm; Optimization; Adaptive Algorithmn; Particle swarm optimaizaiton; OPTIMIZATION ALGORITHM;
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：
This paper is concerned with the global adaptive harmony search (GAHS) algorithms for solving optimization problems. GAHS employs global information to the adaptive harmony search algorithm. The proposed GAHS algorithm is tested numerically and contrasted with improved harmony search (AHS) algorithm, and particle swarm optimization (PSO). Our simulation results reveal that GAHS is superior to AHS and PSO in terms of robustness and efficiency.
引用
收藏
页码：743 / 747
页数：5
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