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Firefly algorithm with chaos

delete2013-01-01
delete706
PRE
AI
A
Amir H. Gandomi
X
Xin‐She Yang
S
Siamak Talatahari *
A
Amir H. Alavi
DOI:10.1016/j.cnsns.2012.06.009delete
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摘要

摘要

En 中文
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. (c) 2012 Elsevier B.V. All rights reserved.
Keyword:
Firefly algorithm
Chaos
Metaheuristic algorithm
Global optimization

期刊

Communications in Nonlinear Science and Numerical Simulation 封面图
Communications in Nonlinear Science and Numerical Simulation
IF:
3.8
论文数:
9.2K
被引数:
1.8W

机构

I
Islamic Azad University
学者数:
4.0W
论文数: 3.3W
被引数: 9.8K
U
University of Tabriz
学者数:
9.3K
论文数: 8.5K
被引数: 1.0W
U
University of Cambridge
学者数:
7.7W
论文数: 7.1W
被引数: 13.7W
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