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	Fireworks Algorithm for Optimization
	Tan, Ying ; Zhu, Yuanchun
	2010
关键词	natural computing swarm metelligence fireworks algorithm particle swarm optimization function optimization
英文摘要	Inspired by observing fireworks explosion; a novel swarim intelligence algorithm, called Fireworks Algorithm (FA), is proposed for global optimization of complex functions in the proposed FA. two types of explosion (search) processes are employed, and the mechanisms for keeping diveisity of sparks rile also well designed In cadet to demon sit ate the validation or the FA; a number of experiments were conducted On mine benchmark test functions to compare the RA with two Variants of particle swami optimization (PSO) algorithms; namely Standard PSO and Clonal PSO It, fauns out, flow the results that the proposed FA clearly outperforms the two variants of the PSOs in both convergence speed and global solution accuracy; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods; EI; CPCI-S(ISTP); 21
语种	英语
DOI标识	10.1007/978-3-642-13495-1_44
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/406210]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Tan, Ying,Zhu, Yuanchun. Fireworks Algorithm for Optimization. 2010-01-01.

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