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Communication network design using particle swarm optimization

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dc.contributor.author Papagianni, C en
dc.contributor.author Papadopoulos, K en
dc.contributor.author Pappas, C en
dc.contributor.author Tselikas, ND en
dc.contributor.author Kaklamani, DT en
dc.contributor.author Venieris, IS en
dc.date.accessioned 2014-03-01T02:45:11Z
dc.date.available 2014-03-01T02:45:11Z
dc.date.issued 2008 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32190
dc.subject Community Networks en
dc.subject Design Process en
dc.subject Network Design en
dc.subject Packet Delay en
dc.subject particle swarm optimizer en
dc.subject Premature Convergence en
dc.subject Quality of Service Issue en
dc.subject Particle Swarm Optimization Algorithm en
dc.subject.other Average packet delays en
dc.subject.other Communication networks en
dc.subject.other Design process en
dc.subject.other Evolutionary approach en
dc.subject.other Hybrid particle swarm optimization algorithm en
dc.subject.other Hybrid PSO en
dc.subject.other Multi objective en
dc.subject.other Multi-criteria en
dc.subject.other Network design problems en
dc.subject.other Network infrastructure en
dc.subject.other Network layout en
dc.subject.other Premature convergence en
dc.subject.other Single objective en
dc.subject.other Computer science en
dc.subject.other Design en
dc.subject.other Information technology en
dc.subject.other Multiobjective optimization en
dc.subject.other Quality of service en
dc.subject.other Particle swarm optimization (PSO) en
dc.title Communication network design using particle swarm optimization en
heal.type conferenceItem en
heal.identifier.primary 10.1109/IMCSIT.2008.4747351 en
heal.identifier.secondary http://dx.doi.org/10.1109/IMCSIT.2008.4747351 en
heal.identifier.secondary 4747351 en
heal.publicationDate 2008 en
heal.abstract Particle Swarm Optimization is applied on an instance of single and multi criteria network design problem. The primary goal of this study is to present the efficiency of a simple hybrid particle swarm optimization algorithm on the design of a network infrastructure including decisions concerning the locations and sizes of links. A complementary goal is to also address Quality of Service issues in the design process. Optimization objectives in this case are the network layout cost and the average packet delay in the network Therefore a multi-objective instance of the hybrid PSO algorithm is applied. The particular hybrid PSO includes mutation to avoid premature convergence. For the same reason repulsion/attraction mechanisms are also applied on the single objective case. Mutation is passed on to the multi-objective instance of the algorithm. Obtained results are compared with corresponding evolutionary approaches.© 2008 IEEE. en
heal.journalName Proceedings of the International Multiconference on Computer Science and Information Technology, IMCSIT 2008 en
dc.identifier.doi 10.1109/IMCSIT.2008.4747351 en
dc.identifier.volume 3 en
dc.identifier.spage 915 en
dc.identifier.epage 920 en


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