中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An Improved Firefly Algorithm with Adaptive Strategies

文献类型:期刊论文

作者Yan XH(晏晓辉); Zhu YL(朱云龙); Wu JW(吴俊伟); Chen HN(陈瀚宁)
刊名Advanced Science Letters
出版日期2012
卷号16期号:1页码:249-254
关键词Firefly Algorithm Adaptive Firefly Algorithm Adaptive strategies Particle Swarm Algorithm
ISSN号1936-6612
产权排序1
中文摘要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
公开日期2012-12-28
源URL[http://ir.sia.cn/handle/173321/10320]  
专题沈阳自动化研究所_信息服务与智能控制技术研究室
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.

入库方式: OAI收割

来源:沈阳自动化研究所

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