Why Not Run the Efficient Global Optimization Algorithm with Multiple Surrogates ?

@inproceedings{Viana2010WhyNR,
  title={Why Not Run the Efficient Global Optimization Algorithm with Multiple Surrogates ?},
  author={Felipe A. C. Viana and Raphael T. Haftka and Layne T. Watson},
  year={2010}
}
Surrogate-based optimization has become popular in the design of complex engineering systems. Each optimization cycle consists of analyzing a number of designs, fitting a surrogate, performing optimization based on the surrogate, and finally performing exact simulation at the design obtained by the optimization. Adaptive sampling algorithms that add one point per cycle are readily available in the literature. They use uncertainty estimators to guide the selection of the next sampling point(s… CONTINUE READING
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