Weighted constraint satisfaction problem information
In artificial intelligence and operations research, a Weighted Constraint Satisfaction Problem (WCSP) is a generalization of a constraint satisfaction problem (CSP) where some of the constraints can be violated (according to a violation degree) and in which preferences among solutions can be expressed. This generalization makes it possible to represent more real-world problems, in particular those that are over-constrained (no solution can be found without violating at least one constraint), or those where we want to find a minimal-cost solution (according to a cost function) among multiple possible solutions.
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Constraintsatisfactionproblems (CSPs) are mathematical questions defined as a set of objects whose state must satisfy a number of constraints or limitations...
research, a WeightedConstraintSatisfactionProblem (WCSP) is a generalization of a constraintsatisfactionproblem (CSP) where some of the constraints can be...
dual problem is a reformulation of a constraintsatisfactionproblem expressing each constraint of the original problem as a variable. Dual problems only...
minimum satisfiability problem. The MAX-SAT problem can be extended to the case where the variables of the constraintsatisfactionproblem belong to the set...
problems that are polynomially-bounded. Assignment problem Bin packing problem Closure problemConstraintsatisfactionproblem Cutting stock problem Dominating...
extended GENET, a neural network architecture for solving ConstraintSatisfactionProblems, which was developed by Chang Wang, Edward Tsang and Andrew...
Holant problems, which generalize counting constraintsatisfactionproblems (#CSP). A #CSP instance is a hypergraph G=(V,E) called the constraint graph...
satisfaction of conflicting constraints. OT differs from other approaches to phonological analysis, which typically use rules rather than constraints...
constraints, the constraints of the problem can be used directly in producing the optimal solutions. There are algorithms that can solve any problem in...
would accept to maintain a given level of satisfaction. Combining indifference curves with budget constraints allows for derivation of individual demand...
science, nondeterministic constraint logic is a combinatorial system in which an orientation is given to the edges of a weighted undirected graph, subject...
algorithm. Numerous weighted SAT problems exist as the optimization versions of the general SAT problem. In this class of problems, each clause in a CNF...
particular formalization of the concept of coherence as a constraintsatisfactionproblem. The model posits that coherence operates over a set of representational...
applications to the scheduling, scheduling sequence and the satisfaction of constraints; 2000, Gutjahr provides the first evidence of convergence for...
satisfaction of a voter as the number of winners approved by that voter. Strong-JR requires that, in every L-cohesive group, the minimum satisfaction...
which solves the assignment problem in polynomial time Constraintsatisfaction General algorithms for the constraintsatisfaction AC-3 algorithm Difference...
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