Abstract
Several variants of the Constraint Satisfaction Problem have been proposed and investigated in the literature for modelling those scenarios where solutions are associated with some given costs. Within these frameworks computing an optimal solution is an NP-hard problem in general; yet, when restricted over classes of instances whose constraint interactions can be modelled via (nearly-)acyclic graphs, this problem is known to be solvable in polynomial time. In this paper, larger classes of tractable instances are singled out, by discussing solution approaches based on exploiting hypergraph acyclicity and, more generally, structural decomposition methods, such as (hyper)tree decompositions.
G.Gottlob works at the Computing Laboratory and at the Oxford Man Institute of Quantitative Finance, Oxford University. This work was done in the context of the EPSRC grant EP/G055114/1 “Constraint Satisfaction for Configuration: Logical Fundamentals,Algorithms, and Complexity” and of Gottlob’s Royal Society Wolfson Research Merit Award.
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Gottlob, G., Greco, G., Scarcello, F. (2009). Tractable Optimization Problems through Hypergraph-Based Structural Restrictions . In: Albers, S., Marchetti-Spaccamela, A., Matias, Y., Nikoletseas, S., Thomas, W. (eds) Automata, Languages and Programming. ICALP 2009. Lecture Notes in Computer Science, vol 5556. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02930-1_2
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