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
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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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