An Integrated Evolutionary Algorithm for Expensive Global Optimization
Jiang ZL(姜宗林); Wang C(王春); Luo ZT(罗长童); Luo CT(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
通讯作者邮箱luo@imech.ac.cn
会议地点烟台
关键词expensive global optimization evolutionary computation low dimensional simplex evolution radial basis function response surface tabu search
通讯作者罗长童
中文摘要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.
收录类别EI
合作状况国际
会议录2010 Sixth International Conference on Natural Computation (ICNC 2010).烟台.2010-08-10~2010-08-12.
学科主题计算流体力学
语种英语
ISBN号978-1-4244-5959-9
内容类型会议论文
源URL[http://dspace.imech.ac.cn/handle/311007/34226]  
专题力学研究所_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
Jiang ZL,Wang C,Luo ZT,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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