Application of the firefly algorithm to the uncapacitated facility location problem

被引：15
|
作者：
Tsuya, Kohei [1 ]
Takaya, Mayumi [2 ]
Yamamura, Akihiro [2 ]
机构：
[1] Akita Univ, Dept Comp Sci & Engn, Akita, Japan
[2] Akita Univ, Dept Math Sci & Elect Elect Comp Engn, 1-1 Tegata Gakuenmachi, Akita 0108502, Japan
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2017年 / 32卷 / 04期
关键词：
Metaheuristic; swarm intelligence; firefly algorithm; artificial bee colony algorithm; uncapacitated facility location problem;
D O I：
10.3233/JIFS-169263
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 is applied to the uncapacitated facility location problem which is a well known optimization problem. The light absorption coefficient parameter gamma of the firefly algorithm is examined to obtain better performance and suitable values of gamma are explored for the uncapacitated facility location problem. Effectiveness of local search in the firefly algorithm is also investigated. In addition, the firefly algorithm equipped with local search is compared with the artificial bee colony algorithm with respect to average relative percent error and hit to optimum rate.
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页码：3201 / 3208
页数：8
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