DocumentCode
1752878
Title
A Modified Artificial Fish-Swarm Algorithm
Author
Xiao, Jianmei ; Zheng, Xiaoming ; Wang, Xihuai ; Huang, Youfang
Author_Institution
Coll. of Logistics Eng., Shanghai Maritime Univ.
Volume
1
fYear
0
fDate
0-0 0
Firstpage
3456
Lastpage
3460
Abstract
Artificial fish-swarm algorithm (AFSA) is a novel optimizing method. It has a strong robustness and good global astringency, and it is also proved to be insensitive to initial values. However, it has some defects as low optimizing precision, and low speed of astringency in the later period of the optimization. In this paper, an adaptive AFSA algorithm is presented by adjusting the parameter automatically in basic AFSA. Six benchmark functions are used to check the performance of the new method. It shows the adaptive AFSA algorithm has great effect on improving the precision of optimization
Keywords
adaptive systems; artificial life; particle swarm optimisation; adaptive artificial fish-swarm algorithm; optimization; swarm intelligence; Adaptive control; Automation; Educational institutions; Intelligent control; Logistics; Optimization methods; Particle swarm optimization; Programmable control; Robustness; adaptive; artificial fish-swarm algorithm; optimization; swarm intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1713010
Filename
1713010
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