Orthogonal Learning Firefly Algorithm

被引：1
|
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：
HYBRID ARTIFICIAL INTELLIGENT SYSTEMS (HAIS 2018) | 2018年 / 10870卷
关键词：
Firefly algorithm; Particle swarm optimization; Orthogonal learning; Friedman rank; PARTICLE SWARM OPTIMIZATION;
D O I：
10.1007/978-3-319-92639-1_26
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a proven technique, orthogonal learning, is combined with popular swarm metaheuristic Firefly Algorithm (FA). More precisely with its hybrid modification Firefly Particle Swarm Optimization (FFPSO). The performance of the developed algorithm is tested and compared with canonical FA and above mentioned FFPSO. Comparisons have been conducted on well-known CEC 2017 benchmark functions, and the results have been evaluated for statistical significance using Friedman rank test.
引用
收藏
页码：315 / 326
页数：12
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