主 講 人：陳瑞彬 教授 (高雄大學統計學研究所副教授兼所長) 
講    題：Surrogate Assistant Approaches for Searching Effective Points in Computer Experiments
日    期：98年10月20日（星期二）下午2:30 –3:20
地    點：數學系(科學館S433室)
Abstract
In computer experiments, true response functions are usually assumed to be unknown, and the cost for 
obtaining a function response is very expensive. Thus instead of identifying true response surfaces directly, 
we would like to approximate response surfaces by inexpensive surrogates which are built only by using few 
explored experimental points. Surrogate assistant methods work successfully in fitting response surfaces and 
processing optimization. In this talk, we would introduce some useful surrogate construction methods, and we 
would then propose several surrogate assistant approaches for searching effective points and finding local 
optimal points.
(Joint with Weichung Wang (NTU), and C. F. Jeff Wu (Georgia Tech.))
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