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论文类型：会议论文

发表时间：2012-11-14

收录刊物：EI、Scopus

卷号：630

页面范围：383-388

摘要：Balancing the global exploration and the local exploitation has received particular attention in global optimization algorithm. In this paper, based on Kriging model an infill sample criteria named weighting-integral expected improvement is proposed, which provides a high flexibility to balance the scope of search. Coupled with this infill sample criteria, a strategy is proposed that on each iteration step, the infill sample point was selected by the urgency of each search scope. Two mathematical functions and one engineering problem are used to test this method. The numerical experiments show that this method has excellent efficiency in finding global optimum solutions. ? (2013) Trans Tech Publications, Switzerland.