An Integrated Evolutionary Algorithm for Expensive Global Optimization

	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)
会议录名称	2010 Sixth International Conference on Natural Computation (ICNC 2010).烟台.2010-08-10~2010-08-12.
	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
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 Sixth International Conference on Natural Computation (ICNC 2010).烟台.2010-08-10~2010-08-12.,2010.

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