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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Adaptive Constraint Satisfaction: The Quickest First Principle
verfasst von : James E. Borrett, Edward P. K. Tsang
Erschienen in: Computational Intelligence
Verlag: Springer Berlin Heidelberg
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The choice of a particular algorithm for solving a given class of constraint satisfaction problems is often confused by exceptional behaviour of algorithms. One method of reducing the impact of this exceptional behaviour is to adopt an adaptive philosophy to constraint satisfaction problem solving. In this report we describe one such adaptive algorithm, based on the principle of chaining. It is designed to avoid the phenomenon of exceptionally hard problem instances. Our algorithm shows how the speed of more naïve algorithms can be utilised safe in the knowledge that the exceptional behaviour can be bounded. Our work clearly demonstrates the potential benefits of the adaptive approach and opens a new front of research for the constraint satisfaction community.