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	Update-based evolution control: A new fitness approximation method for evolutionary algorithms
	Ma, Haiping[1]; Fei, Minrui[2]; Simon, Dan[3]; Mo, Hongwei[4]
刊名	ENGINEERING OPTIMIZATION
	2015
卷号	47页码:1177-1190
关键词	noisy optimization design and analysis of computer experiments (DACE) fitness function approximation constrained optimization evolutionary algorithm
ISSN号	0305-215X
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/2239236
专题	上海大学
作者单位	1.[1]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai, Peoples R China. 2.Shaoxing Univ, Dept Elect Engn, Shaoxing, Peoples R China. 3.[2]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai, Peoples R China. 4.[3]Cleveland State Univ, Dept Elect & Comp Engn, Cleveland, OH 44115 USA. 5.[4]Harbin Engn Univ, Automat Coll, Harbin, Peoples R China.
推荐引用方式 GB/T 7714	Ma, Haiping[1],Fei, Minrui[2],Simon, Dan[3],et al. Update-based evolution control: A new fitness approximation method for evolutionary algorithms[J]. ENGINEERING OPTIMIZATION,2015,47:1177-1190.
APA	Ma, Haiping[1],Fei, Minrui[2],Simon, Dan[3],&Mo, Hongwei[4].(2015).Update-based evolution control: A new fitness approximation method for evolutionary algorithms.ENGINEERING OPTIMIZATION,47,1177-1190.
MLA	Ma, Haiping[1],et al."Update-based evolution control: A new fitness approximation method for evolutionary algorithms".ENGINEERING OPTIMIZATION 47(2015):1177-1190.

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