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Collaborating Authors

 Łaniewski-Wołłk, Łukasz


Relative Expected Improvement in Kriging Based Optimization

arXiv.org Machine Learning

We propose an extension of the concept of Expected Improvement criterion commonly used in Kriging based optimization. We extend it for more complex Kriging models, e.g. models using derivatives. The target field of application are CFD problems, where objective function are extremely expensive to evaluate, but the theory can be also used in other fields.