Global Constraints in Distributed Constraint Satisfaction and Optimization.

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Bibliographic Details
Title: Global Constraints in Distributed Constraint Satisfaction and Optimization.
Authors: Bessiere, Christian1, Brito, Ismel2, Gutierrez, Patricia2, Meseguer, Pedro2
Source: Computer Journal. Jun2014, Vol. 57 Issue 6, p906-923. 18p.
Subjects: Constraint programming, Program transformation, Computer security, Computer memory management, Motherboards
Abstract: Global constraints are an essential component in the efficiency of centralized constraint programming. We propose to include global constraints in distributed constraint satisfaction problem (DisCSP) and distributed constraint optimization problem (DCOP). We detail how this inclusion can be done, considering different representations for global constraints (direct, nested, binary). We explore the relation of global constraints with local consistency (both in the hard and soft cases), in particular, for generalized arc consistency (GAC). We provide experimental evidence of the benefits of global constraints on several benchmarks, both for distributed constraint satisfaction and for distributed constraint optimization. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Global constraints are an essential component in the efficiency of centralized constraint programming. We propose to include global constraints in distributed constraint satisfaction problem (DisCSP) and distributed constraint optimization problem (DCOP). We detail how this inclusion can be done, considering different representations for global constraints (direct, nested, binary). We explore the relation of global constraints with local consistency (both in the hard and soft cases), in particular, for generalized arc consistency (GAC). We provide experimental evidence of the benefits of global constraints on several benchmarks, both for distributed constraint satisfaction and for distributed constraint optimization. [ABSTRACT FROM AUTHOR]
ISSN:00104620
DOI:10.1093/comjnl/bxt088