Journal of Global Optimization

, Volume 21, Issue 4, pp 345–383

A Taxonomy of Global Optimization Methods Based on Response Surfaces

  • Donald R. Jones


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.

global optimization response surface kriging splines 


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Copyright information

© Kluwer Academic Publishers 2001

Authors and Affiliations

  • Donald R. Jones
    • 1
  1. 1.General Motors CorporationWarrenUSA

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