DocumentCode
2290000
Title
An improved adaptive harmony search algorithm
Author
Kong, Zhi ; Wang, Lifu ; Wu, Zhaoxia ; Qi, Shiqing ; Zou, Dexuan
Author_Institution
Dept. of Autom. & Eng., Northeastern Univ. At Qinhuangdao, Qinhuangdao, China
fYear
2012
fDate
6-8 July 2012
Firstpage
743
Lastpage
747
Abstract
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.
Keywords
particle swarm optimisation; search problems; GAHS algorithm; adaptive harmony search algorithm; global adaptive harmony search; global information; improved adaptive harmony search; optimization problems; particle swarm optimization; Algorithm design and analysis; Bandwidth; Educational institutions; Heuristic algorithms; Optimization; Particle swarm optimization; Vectors; Adaptive Algorithm; Harmony Search Algorithm; Optimization; Particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6357976
Filename
6357976
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