On the application of bio-inspired heuristics for network routing with multiple QoS constraints

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dc.contributor.authorBilbao, Miren Nekane
dc.contributor.authorPerfecto, Cristina
dc.contributor.authorDel Ser, Javier
dc.contributor.authorLanda, Xabier
dc.contributor.institutionIA
dc.date.accessioned2024-07-24T12:08:14Z
dc.date.available2024-07-24T12:08:14Z
dc.date.issued2017
dc.descriptionPublisher Copyright: © Springer International Publishing AG 2017.
dc.description.abstractSince the advent of Telecommunication networks in the early 60’s,routing has become a recurrent problem with evergrowing complexity due to the simultaneous share of resources,stringent Quality of Service (QoS) constraints and unmanageable network scales (size,speed and exchanged data volume) by conventional route finding schemes. This paper considers a particular class of routing problems where the route to be found needs to simultaneously fulfill different requirements in terms of e.g. maximum latency,loss rate or any other cost measure. The manuscript delves into the application of the Coral Reefs Optimization and the Firefly Algorithm,two of the latest bio-inspired meta-heuristic techniques reported to outperform other approximative solvers in a wide range of optimization scenarios. Results obtained from Monte Carlo simulations over synthetic network instances will shed light on the comparative performance of these two algorithms,with emphasis on their convergence speed and statistical significance.en
dc.description.statusPeer reviewed
dc.format.extent10
dc.identifier.citationBilbao , M N , Perfecto , C , Del Ser , J & Landa , X 2017 , ' On the application of bio-inspired heuristics for network routing with multiple QoS constraints ' , Studies in Computational Intelligence , vol. 678 , pp. 195-204 . https://doi.org/10.1007/978-3-319-48829-5_19
dc.identifier.doi10.1007/978-3-319-48829-5_19
dc.identifier.issn1860-949X
dc.identifier.urihttps://hdl.handle.net/11556/3848
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84992411185&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofStudies in Computational Intelligence
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsBio-inspired optimization
dc.subject.keywordsConstrained network routing
dc.subject.keywordsCoral reefs optimization
dc.subject.keywordsFirefly algorithm
dc.subject.keywordsArtificial Intelligence
dc.titleOn the application of bio-inspired heuristics for network routing with multiple QoS constraintsen
dc.typejournal article
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