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Using CBR to Select Solution Strategies in Constraint Programming

  • Cormac Gebruers
  • , Brahim Hnich
  • , Derek Bridge
  • , Eugene Freuder

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

Constraint programming is a powerful paradigm that offers many different strategies for solving problems. Choosing a good strategy is difficult; choosing a poor strategy wastes resources and may result in a problem going unsolved. We show how Case-Based Reasoning can be used to select good strategies. We design experiments which demonstrate that, on two problems with quite different characteristics, CBR can outperform four other strategy selection techniques.
Original languageEnglish (Ireland)
Title of host publicationCase-Based Reasoning Research and Development (Procs.\ of the 6th International Conference on Case-Based Reasoning)
Pages222-236
Number of pages15
Publication statusPublished - 2005
Event6th International Conference on Case-Based Reasoning, ICCBR 2005 - Chicago, IL, United States
Duration: 23 Aug 200526 Aug 2005

Conference

Conference6th International Conference on Case-Based Reasoning, ICCBR 2005
Country/TerritoryUnited States
CityChicago, IL
Period23/08/0526/08/05

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