Firefly Algorithm Enhanced by Orthogonal Learning

被引：4
|
作者：
Kadavy, Tomas [1 ]
Pluhacek, Michal [1 ]
Viktorin, Adam [1 ]
Senkerik, Roman [1 ]
机构：
[1] Tomas Bata Univ Zlin, TG Masaryka 5555, Zlin 76001, Czech Republic
来源：
ARTIFICIAL INTELLIGENCE AND ALGORITHMS IN INTELLIGENT SYSTEMS | 2019年 / 764卷
关键词：
Firefly algorithm; Particle Swarm Optimization; Orthogonal learning; PARTICLE SWARM OPTIMIZATION;
D O I：
10.1007/978-3-319-91189-2_47
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Orthogonal learning strategy, a proven technique, is combined with hybrid optimization metaheuristic, which is based on Firefly Algorithm and Particle Swarm Optimization. The hybrid algorithm Firefly Particle Swarm Optimization is then compared, together with canonical Firefly Algorithm, with the newly created Orthogonal Learning Firefly Algorithm. Comparisons have been conducted on five selected basic benchmark functions, and the results have been evaluated for statistical significance using Wilcoxon rank-sum test.
引用
收藏
页码：477 / 488
页数：12
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