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	Hybridizing variable neighborhood search with ant colony optimization for solving the single row facility layout problem (EI收录)
	Guan, Jian[1]; Lin, Geng[2]
刊名	European Journal of Operational Research
	2016
卷号	248页码:899-909
关键词	Ant colony optimization Artificial intelligence Benchmarking Evolutionary algorithms Functions Optimization Plant layout
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2193458
专题	华南理工大学
作者单位	1.[1] Modern Educational Technology Center, Minjiang University, Fuzhou, China 2.[2] Department of Mathematics, Minjiang University, Fuzhou, China
推荐引用方式 GB/T 7714	Guan, Jian[1],Lin, Geng[2]. Hybridizing variable neighborhood search with ant colony optimization for solving the single row facility layout problem (EI收录)[J]. European Journal of Operational Research,2016,248:899-909.
APA	Guan, Jian[1],&Lin, Geng[2].(2016).Hybridizing variable neighborhood search with ant colony optimization for solving the single row facility layout problem (EI收录).European Journal of Operational Research,248,899-909.
MLA	Guan, Jian[1],et al."Hybridizing variable neighborhood search with ant colony optimization for solving the single row facility layout problem (EI收录)".European Journal of Operational Research 248(2016):899-909.

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