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Title:
An Integrated Evolutionary Algorithm for Expensive Global Optimization
Author: Luo CT(罗长童) ; Wang C(王春) ; Jiang ZL(姜宗林) ; Zhang SL
Issued Date: 2010-08-20
Conference Name: 2010 Sixth International Conference on Natural Computation (ICNC 2010)
Conference Date: 2010-08-10~2010-08-12
Conference Place: 烟台
Abstract: We propose an integrated algorithm named low dimensional simplex evolution extension (LDSEE) for expensive global optimization in which only a very limited number of function evaluations is allowed. The new algorithm accelerates an existing global optimization, low dimensional simplex evolution (LDSE), by using radial basis function (RBF) interpolation and tabu search. Different from other expensive global optimization methods, LDSEE integrates the RBF interpolation and tabu search with the LDSE algorithm rather than just calling existing global optimization algorithms as subroutines. As a result, it can keep a good balance between the model approximation and the global search. Meanwhile it is self-contained. It does not rely on other GO algorithms and is very easy to use. Numerical results show that it is a competitive alternative for expensive global optimization.
Keyword: expensive global optimization ; evolutionary computation ; low dimensional simplex evolution ; radial basis function ; response surface ; tabu search
Indexed Type: EI
Subject: 流体力学::计算流体力学
Corresponding Author: 罗长童
Source: 2010 Sixth International Conference on Natural Computation (ICNC 2010).烟台.2010-08-10~2010-08-12.
Language: 英语
ISBN: 978-1-4244-5959-9
Content Type: 会议论文
URI: http://dspace.imech.ac.cn/handle/311007/34226
Appears in Collections:高温气体动力学国家重点实验室_会议论文

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Recommended Citation:
Luo CT,Wang C,Jiang ZL,et al. An Integrated Evolutionary Algorithm for Expensive Global Optimization[C]. 见:2010 Sixth International Conference on Natural Computation (ICNC 2010). 烟台. 2010-08-10~2010-08-12
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