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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/85690
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dc.contributor.authorCosta, A.-
dc.contributor.authorBean, N.-
dc.contributor.editorCao, J.-
dc.contributor.editorDas, S.-
dc.date.issued2012-
dc.identifier.citationMobile Agents in Networking and Distributed Computing, 2012 / Cao, J., Das, S. (ed./s), Ch.6, pp.129-160-
dc.identifier.isbn111813558X-
dc.identifier.isbn9781118135587-
dc.identifier.urihttp://hdl.handle.net/2440/85690-
dc.description.statementofresponsibilityAndre Costa, Nigel Bean-
dc.language.isoen-
dc.publisherJohn Wiley & Sons-
dc.rights© 2012 John Wiley & Sons, Inc.-
dc.source.urihttp://dx.doi.org/10.1002/9781118135617.ch6-
dc.subjectTechnology & Engineering-
dc.subjectMA-based techniques/applications, distance–vector framework; stochastic routing for agents for algorithms as AntNet, for robustness; network routing problem and algorithms for optimization “top-down”; optimizing delay-based performance, hybrid for absence of delay estimates; MA-based routing algorithms, reinforcement learning “actor–critic” approach-
dc.titleNetwork routing-
dc.typeBook chapter-
dc.identifier.doi10.1002/9781118135617.ch6-
dc.publisher.placeHoboken, New Jersey; USA-
pubs.publication-statusPublished-
dc.identifier.orcidBean, N. [0000-0002-5351-3104]-
Appears in Collections:Aurora harvest 2
Mathematical Sciences publications

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