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个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 现任中国工程热物理学会流体机械专委员会委员、中国航空学会学轻型燃气轮机分会委员、教育部重型燃气轮机教学资源库专家委员会委员、辽宁省能动类专业教指委副主任、大连市核事故应急指挥部专家组成员等职。
性别：女
毕业院校：大连理工大学
学位：硕士
所在单位：能源与动力学院
电子邮箱：dlwxf@dlut.edu.cn
Sequential sampling designs based on space reduction
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论文类型：期刊论文
发表时间：2015-07-03
发表刊物：ENGINEERING OPTIMIZATION
收录刊物：SCIE、EI、Scopus
卷号：47
期号：7
页面范围：867-884
ISSN号：0305-215X
关键字：sequential sampling designs; LBS; metamodel accuracy; space reduction
摘要：In the field of engineering design and optimization, metamodels are widely used to replace expensive simulation models in order to reduce computing costs. To improve the accuracy of metamodels effectively and efficiently, sequential sampling designs have been developed. In this article, a sequential sampling design using the Monte Carlo method and space reduction strategy (MCSR) is implemented and discussed in detail. The space reduction strategy not only maintains good sampling properties but also improves the efficiency of the sampling process. Furthermore, a local boundary search (LBS) algorithm is proposed to efficiently improve the performance of MCSR, which is called LBS-MCSR. Comparative results with several sequential sampling approaches from low to high dimensions indicate that the space reduction strategy generates samples with better sampling properties (and thus better metamodel accuracy) in less computing time.