A Hybrid Firefly Algorithm

被引：0
作者：
Qi, Xiangbo [1 ]
Zhu, Sihan [2 ]
Zhang, Hao [1 ]
机构：
[1] Chinese Acad Sci, Shenyang Inst Automat, Shenyang, Liaoning, Peoples R China
[2] Northeast Yucai Foreign Language Sch, Shenyang, Liaoning, Peoples R China
来源：
2017 IEEE 2ND ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC) | 2017年
基金：
中国国家自然科学基金;
关键词：
firefly algorithm; hybrid firefly algorithm; bioinspired algorithm; PARTICLE SWARM OPTIMIZATION; DIFFERENTIAL EVOLUTION; GLOBAL OPTIMIZATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Firefly Algorithm (FA) is a bio-inspired algorithm simulating the flashing behavior of fireflies. In original algorithm, all the fireflies are unisex and only the flashing behavior is simulated. This paper presents a novel hybrid firefly algorithm (HFA) adding mating behavior in original firefly algorithm. The new algorithm is compared with FA and other three well-known bio-inspired algorithms on fifteen benchmark functions. The experimental results show HFA has a good optimizing ability on most benchmark functions and is proved to have significant improvement over canonical FA and several other comparison algorithms.
引用
收藏
页码：287 / 291
页数：5
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