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dc.contributor.authorLiao, Wei
dc.date.accessioned2014-12-18T09:33:51Z
dc.date.available2014-12-18T09:33:51Z
dc.date.issued2014-06-15
dc.identifier.urihttp://hdl.handle.net/11250/227744
dc.descriptionMaster's thesis in Computer sciencenb_NO
dc.description.abstractIn this thesis, we introduce a multi-seeds stochastic optimization algorithm for MIRP (Maritime Inventory Routing Problem) in the LNG business. A liquefied natural gas (LNG) producer usually has a liquefaction plan with limited capacity of inventory, a loading port, a heterogeneous fleet of LNG ships, a list of world wild customers and a set of contracts. The goal of this thesis is a case study for one of the world’s largest LNG producer, and tries to create an annual delivery plan (ADP) to arrange the voyages of fleet at minimum cost to fulfill all the contracts. Multi-seeds stochastic optimization algorithm first randomly generate several ADPs as seeds, and then try to optimize each of them by using stochastic optimization algorithm. At last we choose the best ADP among them.nb_NO
dc.language.isoengnb_NO
dc.publisherUniversity of Stavanger, Norwaynb_NO
dc.relation.ispartofseriesMasteroppgave/UIS-TN-IDE/2014;
dc.subjectinformasjonsteknologinb_NO
dc.subjectdatateknikknb_NO
dc.titleFleet scheduling & optimizationnb_NO
dc.typeMaster thesisnb_NO
dc.subject.nsiVDP::Technology: 500::Information and communication technology: 550::Computer technology: 551nb_NO


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