作者
Amir H Gandomi, X-S Yang, Siamak Talatahari, Amir Hossein Alavi
发表日期
2013/1/1
期刊
Communications in Nonlinear Science and Numerical Simulation
卷号
18
期号
1
页码范围
89-98
出版商
Elsevier
简介
A recently developed metaheuristic optimization algorithm, firefly algorithm (FA), mimics the social behavior of fireflies based on the flashing and attraction characteristics of fireflies. In the present study, we will introduce chaos into FA so as to increase its global search mobility for robust global optimization. Detailed studies are carried out on benchmark problems with different chaotic maps. Here, 12 different chaotic maps are utilized to tune the attractive movement of the fireflies in the algorithm. The results show that some chaotic FAs can clearly outperform the standard FA.
学术搜索中的文章
AH Gandomi, XS Yang, S Talatahari, AH Alavi - Communications in Nonlinear Science and Numerical …, 2013