A Taxonomy of Global Optimization Methods Based on Response Surfaces

  • Jones D
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Abstract

This paper presents a taxonomy of existing approaches for using response surfaces for global optimization. Each method is illustrated with a simple numerical example that brings out its advantages and disadvantages. The central theme is that methods that seem quite reasonable often have non-obvious failure modes. Understanding these failure modes is essential for the development of practical algorithms that fulfill the intuitive promise of the response surface approach.

Author-supplied keywords

  • global optimization
  • kriging
  • response surface
  • splines

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  • D. Jones

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