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	Detecting Firefly Algorithm for Numerical Optimization
	Zhang, Yuchen ; Lei, Xiujuan ; Tan, Ying
	2016
关键词	Firefly algorithm Detecting firefly Global optima
英文摘要	Firefly Algorithm (FA) is a stochastic optimization algorithm inspired by the swarm intelligence. It has the advantages of simple implementation, high efficiency and so on. However, the algorithm is easy to come into premature convergence and fall into local optimum. To address this problem, we proposed a novel firefly algorithm, Detecting Firefly Algorithm (DFA), in which we use a detecting firefly that flies round certain target points to improve the search path of standards FA. Moreover, the influence of the brightest firefly and the second brightest firefly is taken into consideration to optimize the movement strategy of the single firefly. The example illustrates that the higher precision and better convergence features of the proposed algorithm in numerical optimization.; CPCI-S(ISTP); xjlei168@163.com; 200-210; 9712
语种	英语
出处	7th International Conference on Swarm Intelligence (ICSI)
DOI标识	10.1007/978-3-319-41000-5_20
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/460181]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhang, Yuchen,Lei, Xiujuan,Tan, Ying. Detecting Firefly Algorithm for Numerical Optimization. 2016-01-01.

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