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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)
2010-08-20
会议名称2010 Sixth International Conference on Natural Computation (ICNC 2010)
会议日期2010-08-10~2010-08-12
会议地点烟台
会议录名称2010 Sixth International Conference on Natural Computation (ICNC 2010).烟台.2010-08-10~2010-08-12.
摘要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.
关键词Expensive Global Optimization Evolutionary Computation Low Dimensional Simplex Evolution Radial Basis Function Response Surface Tabu Search
ISBN号978-1-4244-5959-9
收录类别EI
语种英语
文献类型会议论文
条目标识符http://dspace.imech.ac.cn/handle/311007/34226
专题高温气体动力学国家重点实验室
通讯作者Luo ZT(罗长童)
推荐引用方式
GB/T 7714
Luo CT,Wang C,Jiang ZL,et al. An Integrated Evolutionary Algorithm for Expensive Global Optimization[C],2010.
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