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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6357976
