Combined Kriging and Gradient-Based Optimization Method

Masato Sekishiro, Gerhard Venter, Vladimir O. Balabanov · 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference · 2006

This paper presents a new Kriging-based optimization method. The goal of this research is to develop a practical and robust general-purpose Kriging-based optimization tool for general design problems. The proposed optimization method efficiently combines Kriging approximations with a gradient-based optimizer. The proposed method is applied to several test problems to examine its efficiency and versatility.

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