Firefly algorithm with chaos
Firefly algorithm with chaos
复制标题
DOI：
10.1016/j.cnsns.2012.06.009
复制
发表时间：
2013-01-01
影响因子：
3.9
通讯作者：
Alavi, A. H.
中科院分区：
文献类型：
--
作者：
Gandomi, A. H.;Yang, X-S.;Alavi, A. H.
萤火虫算法是近年来发展起来的一种基于萤火虫的闪光和吸引特性来模拟萤火虫社会行为的启发式优化算法。在本研究中，我们将混沌引入到FA，以增加其全局搜索的移动性，鲁棒的全局优化。对具有不同混沌映射的基准问题进行了详细的研究。在算法中，利用12种不同的混沌映射来调节萤火虫的吸引运动。结果表明，一些混沌FA可以明显优于标准FA。(c)2012 Elsevier B.V.保留所有权利。
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.