A Modified Artificial Fish-Swarm Algorithm
Jianmei Xiao, Xiaoming Zheng, Xihuai Wang, Youfang Huang · 2006
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