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dc.contributor.authorDavari, Soheil
dc.contributor.authorZarandi, Fazel
dc.contributor.authorHossein, Mohammed
dc.contributor.authorHemmati, Ahmed
dc.contributor.authorTurksen, I. Burhan
dc.identifier.citationDavari , S , Zarandi , F , Hossein , M , Hemmati , A & Turksen , I B 2014 , ' A simulated annealing algorithm for routing problems with fuzzy constrains ' , Journal of Intelligent & Fuzzy Systems , vol. 26 , no. 6 , pp. 2649-2660 .
dc.identifier.otherPURE: 10203291
dc.identifier.otherPURE UUID: 11818a57-5575-4fc6-80c1-c334683b038a
dc.identifier.otherScopus: 84901814551
dc.identifier.otherORCID: /0000-0002-0037-6484/work/37275325
dc.descriptionFazel Zarandi, et al, 'A simulated annealing algorithm for routing problems with fuzzy constrains', Journal of Intelligent & Fuzzy Systems, Vol. 26 (6): 2649-2660, 2014, doi: 10.3233/IFS-130935.
dc.description.abstractThis paper puts forward a location-routing problem with fuzzy demands (LRPFD). A fuzzy chance constrained programming (CCP) model is presented and a simulation-embedded simulated annealing (SA) algorithm is proposed to solve it. Moreover, an initialization heuristic is presented which is based on the well-known fuzzy c-means clustering algorithm. Numerical examples clearly show the effectiveness of the proposed solution procedure. In addition, the sensitivity analysis of the objective function based on the dispatcher preference index is presented.en
dc.relation.ispartofJournal of Intelligent & Fuzzy Systems
dc.subjectlocation-routing problem (LRP)
dc.subjectfuzzy logic
dc.subjectsimulated annealing
dc.subjectcredibility theory
dc.titleA simulated annealing algorithm for routing problems with fuzzy constrainsen
dc.contributor.institutionHertfordshire Business School
dc.description.statusPeer reviewed
rioxxterms.typeJournal Article/Review

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