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CAD
2004
Springer
13 years 4 months ago
Making constraint solvers more usable: overconstraint problem
Christoph M. Hoffmann, Meera Sitharam, Bo Yuan
CORR
2010
Springer
81views Education» more  CORR 2010»
13 years 5 months ago
Using machine learning to make constraint solver implementation decisions
Programs to solve so-called constraint problems are complex pieces of software which require many design decisions to be made more or less arbitrarily by the implementer. These dec...
Lars Kotthoff, Ian P. Gent, Ian Miguel
CP
2004
Springer
13 years 10 months ago
Hybrid Set Domains to Strengthen Constraint Propagation and Reduce Symmetries
In CP literature combinatorial design problems such as sport scheduling, Steiner systems, error-correcting codes and more, are typically solved using Finite Domain (FD) models desp...
Andrew Sadler, Carmen Gervet
AI
2008
Springer
13 years 5 months ago
Solving quantified constraint satisfaction problems
We make a number of contributions to the study of the Quantified Constraint Satisfaction Problem (QCSP). The QCSP is an extension of the constraint satisfaction problem that can b...
Ian P. Gent, Peter Nightingale, Andrew G. D. Rowle...
IJCAI
2003
13 years 6 months ago
Propagate the Right Thing: How Preferences Can Speed-Up Constraint Solving
We present an algorithm Pref-AC that limits arc consistency (AC) to the preferred choices of a tree search procedure and that makes constraint solving more efficient without chan...
Christian Bessière, Anaïs Fabre, Ulric...