QQ客服 官方微博 反馈留言

	Bi-direction multi-surrogate assisted global optimization
	Li, EY; Wang, H
刊名	Engineering Computations: Int J for Computer-Aided Engineering
	2016
卷号	Vol.33 No.3页码:646-666
关键词	Bayesian inference Bi-direction Expected improvement Multi-surrogate Surrogate
ISSN号	0264-4401
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6066357
专题	湖南大学
作者单位	1.Cent South Univ Forestry & Teleol, Changsha, Hunan, Peoples R China 2.Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China 3.Joint Ctr Intelligent New Energy Vehicle, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Li, EY,Wang, H. Bi-direction multi-surrogate assisted global optimization[J]. Engineering Computations: Int J for Computer-Aided Engineering,2016,Vol.33 No.3:646-666.
APA	Li, EY,&Wang, H.(2016).Bi-direction multi-surrogate assisted global optimization.Engineering Computations: Int J for Computer-Aided Engineering,Vol.33 No.3,646-666.
MLA	Li, EY,et al."Bi-direction multi-surrogate assisted global optimization".Engineering Computations: Int J for Computer-Aided Engineering Vol.33 No.3(2016):646-666.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。