A comprehensive review of firefly algorithms

被引:864
作者
Fister, Iztok [1 ]
Fister, Iztok, Jr. [1 ]
Yang, Xin-She [2 ]
Brest, Janez [1 ]
机构
[1] Univ Maribor, Fac Elect Engn & Comp Sci, Maribor 2000, Slovenia
[2] Middlesex Univ, Sch Sci & Technol, London NW4 4BT, England
关键词
Firefly algorithm; Swarm intelligence; Nature-inspired algorithm; Optimization; PARTICLE SWARM OPTIMIZATION; MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS; DIFFERENTIAL EVOLUTION; INSPIRED APPROACH; STRATEGY; SYNCHRONIZATION; INTELLIGENCE; HEURISTICS; EMISSION; COMPLEX;
D O I
10.1016/j.swevo.2013.06.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The firefly algorithm has become an increasingly important tool of Swarm Intelligence that has been applied in almost all areas of optimization, as well as engineering practice. Many problems from various areas have been successfully solved using the firefly algorithm and its variants. In order to use the algorithm to solve diverse problems, the original firefly algorithm needs to be modified or hybridized. This paper carries out a comprehensive review of this living and evolving discipline of Swarm Intelligence, in order to show that the firefly algorithm could be applied to every problem arising in practice. On the other hand, it encourages new researchers and algorithm developers to use this simple and yet very efficient algorithm for problem solving. It often guarantees that the obtained results will meet the expectations. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:34 / 46
页数:13
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