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	Exponentially Decreased Dimension Number Strategy Based Dynamic Search Fireworks Algorithm for Solving CEC2015 Competition Problems
	Zheng, Shaoqiu ; Yu, Chao ; Li, Junzhi ; Tan, Ying
	2015
关键词	RECONFIGURATION
英文摘要	Fireworks algorithm (FWA) is one swarm intelligence algorithm proposed in 2010, which takes the inspiration from the firework explosion process. Compared with other meta-heuristic algorithms, FWA presents a cooperative explosive search manner. In the explosive search manner, the explosion amplitudes, explosion sparks' numbers and explosion dimension selection methods play the key roles for its successful implementation. In this paper, the performance analyses of the different explosion dimension number strategies in FWA and its variants are presented at first, then the exponentially decreased explosion dimension number strategy is introduced for the most recent dynamic search fireworks algorithm (dynFWA), called ed-dynFWA, to enhance its local search ability. To validate the performance of ed-dynFWA, it is used to participate in the CEC 2015 competition for solving learning based optimization problems.; CPCI-S(ISTP); zhengshaoqiu@pku.edu.cn; chaoyu@pku.edu.cn; ljz@pku.edu.cn; ytan@pku.edu.cn; 1083-1090
语种	英语
出处	IEEE Congress on Evolutionary Computation (CEC)
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/460585]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zheng, Shaoqiu,Yu, Chao,Li, Junzhi,et al. Exponentially Decreased Dimension Number Strategy Based Dynamic Search Fireworks Algorithm for Solving CEC2015 Competition Problems. 2015-01-01.

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