Integration of Mobile Agents and Genetic Algorithms for Efficient Dynamic Network Resource Allocation

Papavassiliou, S; Ye, J; Puliafito, A; Tomarchio, O

dc.contributor.author	Papavassiliou, S	en
dc.contributor.author	Ye, J	en
dc.contributor.author	Puliafito, A	en
dc.contributor.author	Tomarchio, O	en
dc.date.accessioned	2014-03-01T02:49:04Z
dc.date.available	2014-03-01T02:49:04Z
dc.date.issued	2001	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34275
dc.subject	Dynamic Networks	en
dc.subject	Genetic Algorithm	en
dc.subject	Mobile Agent	en
dc.subject	Network Management	en
dc.subject	Network Model	en
dc.subject	Optimal Resource Allocation	en
dc.subject	Requirements Management	en
dc.subject	Resource Allocation	en
dc.subject	Stochastic Algorithm	en
dc.subject	Agent Based	en
dc.subject	Service Provider	en
dc.title	Integration of Mobile Agents and Genetic Algorithms for Efficient Dynamic Network Resource Allocation	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISCC.2001.935415	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISCC.2001.935415	en
heal.publicationDate	2001	en
heal.abstract	An agent based approach is investigated to build a framework where resource allocation is provided under the control of different and often competing stake-holders (users, network providers, service providers, etc.). This paper also describes the efficient integration and adoption of mobile agents and genetic algorithms in the implementation of an effective strategy for the development of effective market based routes	en
heal.journalName	International Symposium on Computers and Communications	en
dc.identifier.doi	10.1109/ISCC.2001.935415	en