Topographical Global Optimization for Constrained Problems

  title={Topographical Global Optimization for Constrained Problems},
  author={Sami Viitanen and Aimo T Orn}
In topographical global optimization a sample of points that super-uniformly cover the region of interest, A, is used in combination with the function evaluations in these points to obtain a topographical graph of A from which candidate points are easily extracted for local minimizations. This paper discusses some of the problems in obtaining such a cover and presents some solutions. These solutions are based on rst obtaining a set of starting points in all subregions of A, and then covering… CONTINUE READING


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