Abstract
Given the breadth of constraint satisfaction problems (CSP) and the wide variety of CSP solvers, it is often very difficult to determine a priori which solving method is best suited to a problem. This work explores the use of machine learning to predict which solving method will be most effective for a given problem. © 2010 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
APA
Thompson, C. D. S. (2010). Predicting optimal constraint satisfaction methods. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6085 LNAI, pp. 401–404). https://doi.org/10.1007/978-3-642-13059-5_56
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