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» CSP(M): Constraint Satisfaction Problem over Models
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CP
2007
Springer
16 years 15 hour ago
Reformulating CSPs for Scalability with Application to Geospatial Reasoning
While many real-world combinatorial problems can be advantageously modeled and solved using Constraint Programming, scalability remains a major issue in practice. Constraint models...
Kenneth M. Bayer, Martin Michalowski, Berthe Y. Ch...
PACT
1999
Springer
15 years 10 months ago
Parallel Implementation of Constraint Solving
Many problems from artificial intelligence can be described as constraint satisfaction problems over finite domains (CSP(FD)), that is, a solution is an assignment of a value to ...
Alvaro Ruiz-Andino, Lourdes Araujo, Fernando S&aac...
PRICAI
2004
Springer
15 years 11 months ago
Solving Over-Constrained Temporal Reasoning Problems Using Local Search
Temporal reasoning is an important task in many areas of computer science including planning, scheduling, temporal databases and instruction optimisation for compilers. Given a kno...
Matthew Beaumont, John Thornton, Abdul Sattar, Mic...
KBS
2007
56views more  KBS 2007»
15 years 5 months ago
Domain-dependent distributed models for railway scheduling
Many combinatorial problems can be modelled as Constraint Satisfaction Problems (CSPs). Solving a general CSP is known to be NP-complete, so closure and heuristic search are usual...
Miguel A. Salido, Montserrat Abril, Federico Barbe...
CP
2005
Springer
15 years 7 months ago
Evolving Variable-Ordering Heuristics for Constrained Optimisation
In this paper we present and evaluate an evolutionary approach for learning new constraint satisfaction algorithms, specifically for MAX-SAT optimisation problems. Our approach of...
Stuart Bain, John Thornton, Abdul Sattar