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dc.contributor.authorZarandi, Mohammad Hossein Fazel
dc.contributor.authorHemmati, Ahmad
dc.contributor.authorDavari, Soheil
dc.contributor.authorTurksen, I. Burhan
dc.date.accessioned2017-10-04T12:07:10Z
dc.date.available2017-10-04T12:07:10Z
dc.date.created2013-09-05T13:06:27Z
dc.date.issued2014
dc.identifier.citationJournal of Intelligent & Fuzzy Systems. 2014, 26 (6), 2649-2660.nb_NO
dc.identifier.issn1064-1246
dc.identifier.urihttp://hdl.handle.net/11250/2458394
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.nb_NO
dc.language.isoengnb_NO
dc.publisherIOS Pressnb_NO
dc.titleA simulated annealing algorithm for routing problems with fuzzy constrainsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber2649-2660nb_NO
dc.source.volume26nb_NO
dc.source.journalJournal of Intelligent & Fuzzy Systemsnb_NO
dc.source.issue6nb_NO
dc.identifier.doi10.3233/IFS-130935
dc.identifier.cristin1047206
dc.relation.projectNorges forskningsråd: 205298nb_NO
dc.description.localcode© 2013 IOS Press. This is the authors' accepted and refereed manuscript to the article.nb_NO
cristin.unitcode194,60,25,0
cristin.unitnameInstitutt for industriell økonomi og teknologiledelse
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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