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Distributed Constraint Satisfaction with Multiply Sectioned Constraint Networks

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dc.contributor.author Xiang, Yang
dc.contributor.author Mohamed, Younis
dc.contributor.author Zhang, Wanling
dc.date.accessioned 2015-06-19T19:23:21Z
dc.date.available 2015-06-19T19:23:21Z
dc.date.issued 2014
dc.identifier.issn 1756-7017
dc.identifier.uri http://hdl.handle.net/10214/8929
dc.description Journal webpage: http://www.inderscience.com/jhome.php?jcode=ijids en_US
dc.description.abstract We propose a new algorithmic framework, multiply sectioned constraint networks (MSCNs), for solving distributed constraint satisfaction problems (DisCSPs) with complex local problems. An MSCN is converted into a linked junction forest (LJF) and is solved by a complete algorithm. Its time complexity is linear on the number and size of local problems (each in charge by an agent) and is exponential on cluster size of LJF. We show that the MSCN-LJF algorithm is more efficient than junction tree-based DisCSP algorithms. When a DisCSP is not naturally an MSCN, we show how to convert it into an MSCN, so that any DisCSP can be solved as above. en_US
dc.description.sponsorship NSERC, Canada en_US
dc.language.iso en en_US
dc.publisher Inderscience en_US
dc.subject Distributed constraint satisfaction problems, multiply sectioned constraint networks, linked junction forests, complex local problems, multiagent systems, junction trees. en_US
dc.title Distributed Constraint Satisfaction with Multiply Sectioned Constraint Networks en_US
dc.type Article en_US
dc.rights.license All items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dcterms.relation Y. Xiang, Y. Mohamed, and W. Zhang, Distributed Constraint Satisfaction with Multiply Sectioned Constraint Networks. International Journal of Information and Decision Sciences, Vol.6, No.2, 127-152, 2014.


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