Sampling strategies and variable selection in weighted degree heuristics

  • Authors:
  • Diarmuid Grimes;Richard J. Wallace

  • Affiliations:
  • Cork Constraint Computation Centre and Department of Computer Science, University College Cork, Cork, Ireland;Cork Constraint Computation Centre and Department of Computer Science, University College Cork, Cork, Ireland

  • Venue:
  • CP'07 Proceedings of the 13th international conference on Principles and practice of constraint programming
  • Year:
  • 2007
  • Trying again to fail-first

    CSCLP'04 Proceedings of the 2004 joint ERCIM/CoLOGNET international conference on Recent Advances in Constraints

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Abstract

An important class of CSP heuristics work by sampling information during search in order to inform subsequent decisions. An example is the use of failures, in the form of constraint weights, to guide variable selection in a weighted degree procedure. The present research analyses the characteristics of the sampling process in this procedure and the manner in which information is used, in order to better understand this type of strategy and to discover further enhancements.