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Soft arc consistency revisited
The Valued Constraint Satisfaction Problem (VCSP) is a generic optimization problem
defined by a network of local cost functions defined over discrete variables. It has …
defined by a network of local cost functions defined over discrete variables. It has …
Solving weighted CSP by maintaining arc consistency
Recently, a general definition of arc consistency (AC) for soft constraint frameworks has
been proposed by T. Schiex [Proc. CP-2000, Singapore, 2000, pp. 411–424]. In this paper …
been proposed by T. Schiex [Proc. CP-2000, Singapore, 2000, pp. 411–424]. In this paper …
Arc consistency for soft constraints
The notion of arc consistency plays a central role in constraint satisfaction [R. Dechter,
Constraint Processing, Morgan Kaufmann, San Mateo, CA, 2003]. It is known since the …
Constraint Processing, Morgan Kaufmann, San Mateo, CA, 2003]. It is known since the …
Arc consistency for soft constraints
T Schiex - Principles and Practice of Constraint Programming–CP …, 2000 - Springer
Traditionally, local consistency is defined as a relaxation of consistency which can be
checked in polynomial time. It is accompanied by a corresponding “filtering” or “enforcing” …
checked in polynomial time. It is accompanied by a corresponding “filtering” or “enforcing” …
Specific filtering algorithms for over-constrained problems
In recent years, many constraint-specific filtering algorithms have been introduced. Such
algorithms use the semantics of the constraint to perform filtering more efficiently than a …
algorithms use the semantics of the constraint to perform filtering more efficiently than a …
[PDF][PDF] Optimal Soft Arc Consistency.
The Valued (VCSP) framework is a generic optimization framework with a wide range of
applications. Soft arc consistency operations transform a VCSP into an equivalent problem …
applications. Soft arc consistency operations transform a VCSP into an equivalent problem …
Current approaches for solving over-constrained problems
P Meseguer, N Bouhmala, T Bouzoubaa, M Irgens… - Constraints, 2003 - Springer
We summarize existing approaches to model and solve overconstrained problems. These
problems are usually formulated as combinatorial optimization problems, and different …
problems are usually formulated as combinatorial optimization problems, and different …
Maintaining reversible DAC for Max-CSP
We introduce an exact algorithm for maximizing the number of satisfied constraints in an
overconstrained CSP (Max-CSP). The algorithm, which can also solve weighted CSP …
overconstrained CSP (Max-CSP). The algorithm, which can also solve weighted CSP …
[CARTE][B] Distributed Search by Constrained Agents: algorithms, performance, communication
A Meisels - 2008 - books.google.com
Agent technology is evolving as a leading field of research connected to diverse areas such
as AI, E-commerce, robotics and information retrieval. Agents systems use reasoning and …
as AI, E-commerce, robotics and information retrieval. Agents systems use reasoning and …
[CARTE][B] Line drawing interpretation
M Cooper - 2010 - books.google.com
Page 1 Martin Cooper | | | | | | | | | | | | | | | || | || | || || | || || | || | || | Line Drawing Interpretation
Springer Page 2 Line Drawing Interpretation Page 3 Martin Cooper Line Drawing …
Springer Page 2 Line Drawing Interpretation Page 3 Martin Cooper Line Drawing …