IMECH-IR  > 高温气体动力学国家重点实验室
A metamodel-assisted evolutionary algorithm for expensive optimization
Luo CT(罗长童); Zhang SL; Wang C(王春); Jiang ZL(姜宗林); Luo, CT (reprint author), Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China
Source PublicationJOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
2011
Pages759-764
Conference Name7th International Conference on Scientific Computing and Applications
Conference DateJUN 13-16, 2010
Conference PlaceDalian, PEOPLES R CHINA
AbstractExpensive optimization aims to find the global minimum of a given function within a very limited number of function evaluations. It has drawn much attention in recent years. The present expensive optimization algorithms focus their attention on metamodeling techniques, and call existing global optimization algorithms as subroutines. So it is difficult for them to keep a good balance between model approximation and global search due to their two-part property. To overcome this difficulty, we try to embed a metamodel mechanism into an efficient evolutionary algorithm, low dimensional simplex evolution (LDSE), in this paper. The proposed algorithm is referred to as the low dimensional simplex evolution extension (LDSEE). It is inherently parallel and self-contained. This renders it very easy to use. Numerical results show that our proposed algorithm is a competitive alternative for expensive optimization problems. (C) 2011 Elsevier B.V. All rights reserved.
KeywordExpensive Optimization Evolutionary Algorithm Low Dimensional Simplex Evolution Metamodel Radial Basis Function Radial Basis Function Black-box Functions Global Optimization
Department高温气体动力学国家重点实验室
Funding OrganizationDalian Univ Technol
URL查看原文
Indexed ByCPCI(ISTP)
Language英语
Document Type会议论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/45275
Collection高温气体动力学国家重点实验室
Corresponding AuthorLuo, CT (reprint author), Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Luo CT,Zhang SL,Wang C,et al. A metamodel-assisted evolutionary algorithm for expensive optimization[C]JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS,2011:759-764.
Files in This Item: Download All
File Name/Size DocType Version Access License
Conf2011-024.pdf(222KB) 开放获取--View Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Luo CT(罗长童)]'s Articles
[Zhang SL]'s Articles
[Wang C(王春)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Luo CT(罗长童)]'s Articles
[Zhang SL]'s Articles
[Wang C(王春)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Luo CT(罗长童)]'s Articles
[Zhang SL]'s Articles
[Wang C(王春)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Conf2011-024.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.