Dichotomic Search Protocols for Constrained Optimization

  • Authors:
  • Meinolf Sellmann;Serdar Kadioglu

  • Affiliations:
  • Department of Computer Science, Brown University, Providence, RI 02912;Department of Computer Science, Brown University, Providence, RI 02912

  • Venue:
  • CP '08 Proceedings of the 14th international conference on Principles and Practice of Constraint Programming
  • Year:
  • 2008

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Abstract

We devise a theoretical model for dichotomic search algorithms for constrained optimization. We show that, within our model, a certain way of choosing the breaking point minimizes both expected as well as worst case performance in a skewed binary search. Furthermore, we show that our protocol is optimal in the expected and in the worst case. Experimental results illustrate performance gains when our protocols are used within the search strategy by Streeter and Smith.