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Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCO...

Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCO...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2487630355

Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCOPs

About this item

Full title

Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCOPs

Publisher

New York: Springer US

Journal title

Applied intelligence (Dordrecht, Netherlands), 2021-03, Vol.51 (3), p.1733-1746

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

The Distributed Pseudo-tree Optimization Procedure (DPOP) is a well-known message passing algorithm that provides optimal solutions to Distributed Constraint Optimization Problems (DCOPs) in cooperative multi-agent systems. However, the traditional DCOP formulation does not consider constraints that must be satisfied (hard constraints), rather it c...

Alternative Titles

Full title

Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCOPs

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2487630355

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2487630355

Other Identifiers

ISSN

0924-669X

E-ISSN

1573-7497

DOI

10.1007/s10489-020-01860-8

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