Firefly algorithm for discrete optimization problems: A survey
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- 作者：Surafel Luleseged Tilahun ; Jean Medard T. Ngnotchouye
- 关键词：firefly algorithm ; optimization ; nature ; inspired algorithm ; discrete optimization ; discrete firefly algorithm
- 刊名：KSCE Journal of Civil Engineering
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：21
- 期：2
- 页码：535-545
- 全文大小：827KB
- 刊物类别：Engineering
- 刊物主题：Civil Engineering; Industrial Pollution Prevention; Geotechnical Engineering & Applied Earth Sciences;
- 出版者：Korean Society of Civil Engineers
- ISSN：1976-3808
- 卷排序：21
文摘
Firefly algorithm is a nature-inspired metaheuristic algorithm inspired by the flashing behavior of fireflies. It is originally proposed for continuous problems. However, due to its effectiveness and success in solving continuous problems, different studies are conducted in modifying the algorithm to suit discrete problems. Many engineering as well as optimization problems from other disciplines involve discrete variables. Recent reviews on the application and modifications of firefly algorithm mainly focus on continuous problems. This paper is devoted to the detailed review of the modifications done on firefly algorithm in order to solve optimization problems with discrete variables. Hence, advances on the application of firefly algorithm for optimization problems with binary, integer as well as mixed variables will be discussed. Possible future works will also be highlighted.