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An Improved Firefly Algorithm with Adaptive Strategies
Yan XH(晏晓辉); Zhu YL(朱云龙); Wu JW(吴俊伟); Chen HN(陈瀚宁)
作者部门信息服务与智能控制技术研究室
关键词Firefly Algorithm Adaptive Firefly Algorithm Adaptive Strategies Particle Swarm Algorithm
发表期刊Advanced Science Letters
ISSN1936-6612
2012
卷号16期号:1页码:249-254
产权排序1
摘要Firefly Algorithm (FA) is a powerful swarm intelligence algorithm inspired by the flash phenomenon of the fireflies. However, it has weaknesses on optimizing high-dimensional problems. This paper presents an improved FA named Adaptive Firefly Algorithm (AFA). In the new algorithm, three strategies are proposed to improve its adaptability and overcome its weaknesses. The algorithm is tested on a set of benchmark functions with different dimensions. Canonical FA and two other well-known heuristic algorithms are also employed for comparison. Experiment and statistical results show that the AFA algorithm offers significant better performance than original FA algorithm. Especially on high-dimensional problems, it is superior to all other compared algorithms.
语种英语
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/10320
专题信息服务与智能控制技术研究室
作者单位1.Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2.Graduate School of the Chinese Academy of Sciences, Beijing, 100039 China
推荐引用方式
GB/T 7714
Yan XH,Zhu YL,Wu JW,et al. An Improved Firefly Algorithm with Adaptive Strategies[J]. Advanced Science Letters,2012,16(1):249-254.
APA Yan XH,Zhu YL,Wu JW,&Chen HN.(2012).An Improved Firefly Algorithm with Adaptive Strategies.Advanced Science Letters,16(1),249-254.
MLA Yan XH,et al."An Improved Firefly Algorithm with Adaptive Strategies".Advanced Science Letters 16.1(2012):249-254.
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