Skip to Main content Skip to Navigation
Journal articles

Global Constraints in Distributed Constraint Satisfaction and Optimization

Abstract : Global constraints are an essential component in the efficiency of centralized constraint programming. We propose to include global constraints in distributed constraint satisfaction and optimization problems (DisCSPs and DCOPs). 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.
Document type :
Journal articles
Complete list of metadatas

Cited literature [31 references]  Display  Hide  Download

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01067483
Contributor : Joël Quinqueton <>
Submitted on : Thursday, October 10, 2019 - 1:57:11 PM
Last modification on : Thursday, June 4, 2020 - 7:36:02 AM

File

computerJ14.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Christian Bessière, Ismel Brito, Patricia Gutierrez, Pedro Meseguer. Global Constraints in Distributed Constraint Satisfaction and Optimization. The Computer Journal, Oxford University Press (UK), 2014, 57 (6), pp.906-923. ⟨10.1093/comjnl/bxt088⟩. ⟨lirmm-01067483⟩

Share

Metrics

Record views

225

Files downloads

86