Exploration of Metamodeling Sampling Criteria for Constrained Global Optimization

@inproceedings{Sasena2002ExplorationOM,
  title={Exploration of Metamodeling Sampling Criteria for Constrained Global Optimization},
  author={Michael James Sasena and Panos Y. Papalambros and Pierre Goovaerts},
  year={2002}
}
The use of surrogate models or metamodeling has lead to new areas of research in simulation-based design optimization. Metamodeling approaches have advantages over traditional techniques when dealing with the noisy responses and/or high computational cost characteristic of many computer simulations. This paper focuses on a particular algorithm, Efficient Global Optimization (EGO) that uses kriging metamodels. Several infill sampling criteria are reviewed, namely criteria for selecting design… CONTINUE READING

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