A metamodel-assisted evolutionary algorithm for expensive optimization

	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
会议录名称	JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
	2011
页码	759-764
会议名称	7th International Conference on Scientific Computing and Applications
会议日期	JUN 13-16, 2010
会议地点	Dalian, PEOPLES R CHINA
摘要	Expensive 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.
关键词	Expensive Optimization Evolutionary Algorithm Low Dimensional Simplex Evolution Metamodel Radial Basis Function Radial Basis Function Black-box Functions Global Optimization
课题组名称	高温气体动力学国家重点实验室
资助信息	Dalian Univ Technol
URL	查看原文
收录类别	CPCI（ISTP）
语种	英语
文献类型	会议论文
条目标识符	http://dspace.imech.ac.cn/handle/311007/45275
专题	高温气体动力学国家重点实验室
通讯作者	Luo, CT (reprint author), Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China
推荐引用方式 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.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Conf2011-024.pdf（222KB）			开放获取	--	浏览请求全文