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.
This material is based upon work supported by Science Foundation Ireland under Grant No. 00/PI.1/C075.
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Gebruers, C., Hnich, B., Bridge, D., Freuder, E. (2005). Using CBR to Select Solution Strategies in Constraint Programming. In: Muñoz-Ávila, H., Ricci, F. (eds) Case-Based Reasoning Research and Development. ICCBR 2005. Lecture Notes in Computer Science(), vol 3620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11536406_19
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DOI: https://doi.org/10.1007/11536406_19
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