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EPSRC Reference: GR/T05325/01
Title: Complexity of Constraint Optimisation on ordered Domains: An initial Study
Principal Investigator: Krokhin, Professor A
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Department: Computer Science
Organisation: University of Warwick
Scheme: Standard Research (Pre-FEC)
Starts: 22 June 2004 Ends: 21 July 2004 Value (£): 3,170
EPSRC Research Topic Classifications:
Fundamentals of Computing
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
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Summary on Grant Application Form
The constraint satisfaction problem (CSP) is a well-known formalism in Al and computer science. The aim in a constraint satisfaction problem is to find an assignment of values to a given set of variables, subject to constraints on the values which can be assigned to certain specified subsets of variables. This general setting allows one to express, in a natural way, a wide variety of problems encountered in Artificial Intelligence, Combinatorial Optimisation, Algebra, Graph Theory, Logic Programming, Database Theory and elsewhere. A natural optimisation version of CSP is the maximum constraint satisfaction problem (Max CSP) where the goal is to maximise the number of satisfied constraints.Solving CSP and Max CSP in full generality is difficult, and it is very unlikely that general efficient algorithms for these problems exist. We propose to study which restrictions on the type of constraints make Max CSP tractable. It was shown recently that the algebraic condition of supermodularity on a suitably ordered domain is relevant in the study of complexity of Max CSP. We plan to investigate the extent to which this approach is applicable to Max CSP and to clarify the role of ordering of the domain in this application.
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Organisation Website: http://www.warwick.ac.uk