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	A quantum-behaved particle swarm optimization algorithm with the flexible single-/multi-population strategy and multi-stage perturbation strategy based on the characteristics of objective function
	Guo, Yunhua; Chen, Nian-Zhong; Mou, Junmin; Zhang, Ben
刊名	Soft Computing
	2019
ISSN号	1432-7643
DOI	10.1007/s00500-019-04328-1
URL标识	查看原文
收录类别	EI
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4231974
专题	武汉大学
推荐引用方式 GB/T 7714	Guo, Yunhua,Chen, Nian-Zhong,Mou, Junmin,et al. A quantum-behaved particle swarm optimization algorithm with the flexible single-/multi-population strategy and multi-stage perturbation strategy based on the characteristics of objective function[J]. Soft Computing,2019.
APA	Guo, Yunhua,Chen, Nian-Zhong,Mou, Junmin,&Zhang, Ben.(2019).A quantum-behaved particle swarm optimization algorithm with the flexible single-/multi-population strategy and multi-stage perturbation strategy based on the characteristics of objective function.Soft Computing.
MLA	Guo, Yunhua,et al."A quantum-behaved particle swarm optimization algorithm with the flexible single-/multi-population strategy and multi-stage perturbation strategy based on the characteristics of objective function".Soft Computing (2019).

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