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dc.contributor.authorISHII, Hiroakien
dc.contributor.authorIBARAKI, Toshihideen
dc.contributor.authorMINE, Hisashien
dc.date.accessioned2023-03-28T09:06:56Z-
dc.date.available2023-03-28T09:06:56Z-
dc.date.issued1975-12-31-
dc.identifier.urihttp://hdl.handle.net/2433/280987-
dc.description.abstractThis paper considers the following delivery route problem. A truck delivers rᵢ unit production resources to cities i=2, 3, ···, n in some order starting from city 1, and receives wᵢ unit production wastes at cities i=2, 3, ···n. Let cᵢj (1≤i≤n, 1≤j≤n, i≠j) be the time the delivery truck requires from city i to city j. At city i (i≠1), the production starts upon receiving the production resources and takes tᵢ (≥0) unit time until completion. Moreover, the delivery truck has the carrying capacity ⊿ and starts from city 1 with ren sources of Σ rᵢ units. At each city i, the total of remaining resources and the collected wastes can not exceed ⊿. The problem is to find a delivery route that visits each city i exactly once, and minimizes the completion time of production at all cities i=2, 3, ···, n. This paper shows that the well known dynamic programming approach for the traveling salesman problem can be generalized to incorporate the capacity constraint.en
dc.language.isoeng-
dc.publisherFaculty of Engineering, Kyoto Universityen
dc.publisher.alternative京都大学工学部ja
dc.subject.ndc500-
dc.titleTraveling Salesman Problems with a Capacity Constraint of the Delivery Trucken
dc.typedepartmental bulletin paper-
dc.type.niitypeDepartmental Bulletin Paper-
dc.identifier.ncidAA00732503-
dc.identifier.jtitleMemoirs of the Faculty of Engineering, Kyoto Universityen
dc.identifier.volume37-
dc.identifier.issue4-
dc.identifier.spage252-
dc.identifier.epage263-
dc.textversionpublisher-
dc.sortkey04-
dc.addressDepartment of Applied Mathematics and Physicsen
dc.addressDepartment of Applied Mathematics and Physicsen
dc.addressDepartment of Applied Mathematics and Physicsen
dcterms.accessRightsopen access-
dc.identifier.pissn0023-6063-
出現コレクション:Vol.37 Part 4

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