IMECH-IR  > 高温气体动力学国家重点实验室
An Integrated Evolutionary Algorithm for Expensive Global Optimization
Luo CT(罗长童); Wang C(王春); Jiang ZL(姜宗林); Zhang SL; Luo ZT(罗长童)
Source Publication2010 Sixth International Conference on Natural Computation (ICNC 2010).烟台.2010-08-10~2010-08-12.
2010-08-20
Conference Name2010 Sixth International Conference on Natural Computation (ICNC 2010)
Conference Date2010-08-10~2010-08-12
Conference Place烟台
AbstractWe 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.
KeywordExpensive Global Optimization Evolutionary Computation Low Dimensional Simplex Evolution Radial Basis Function Response Surface Tabu Search
ISBN978-1-4244-5959-9
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/34226
Collection高温气体动力学国家重点实验室
Corresponding AuthorLuo ZT(罗长童)
Recommended Citation
GB/T 7714
Luo CT,Wang C,Jiang ZL,et al. An Integrated Evolutionary Algorithm for Expensive Global Optimization[C]2010 Sixth International Conference on Natural Computation (ICNC 2010).烟台.2010-08-10~2010-08-12.,2010.
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