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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)
Department信息服务与智能控制技术研究室
Source PublicationAdvanced Science Letters
ISSN1936-6612
2012
Volume16Issue:1Pages:249-254
Contribution Rank1
KeywordFirefly Algorithm Adaptive Firefly Algorithm Adaptive Strategies Particle Swarm Algorithm
AbstractFirefly 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.
Language英语
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/10320
Collection信息服务与智能控制技术研究室
Affiliation1.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
Recommended Citation
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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