Zobrazit minimální záznam

dc.contributor.authorRybičková, Alena
dc.contributor.authorMocková, Denisa
dc.contributor.authorTeichmann, Dušan
dc.date.accessioned2019-09-04T12:05:51Z
dc.date.available2019-09-04T12:05:51Z
dc.date.issued2019
dc.identifier.citationNeural Network World. 2019, vol. 29, issue 3, p. 173-187.cs
dc.identifier.issn1210-0552
dc.identifier.urihttp://hdl.handle.net/10084/138475
dc.description.abstractThis paper focuses on the continuous location-routing problem that comprises of the location of multiple depots from a given region and determining the routes of vehicles assigned to these depots. The objective of the problem is to design the delivery system of depots and routes so that the total cost is minimal. The standard location-routing problem considers a finite number of possible locations. The continuous location-routing problem allows location to infinite number of locations in a given region and makes the problem much more complex. We present a genetic algorithm that tackles both location and routing subproblems simultaneously.cs
dc.language.isoencs
dc.publisherČVUT, Fakulta dopravní; VŠB-TU Ostrava, Fakulta elektrotechniky a informatikycs
dc.relation.ispartofseriesNeural Network Worldcs
dc.relation.urihttp://doi.org/10.14311/NNW.2019.29.012cs
dc.rights© CTU FTS 2019cs
dc.subjectlocation-routing problemcs
dc.subjectcontinuous location-routing problemcs
dc.subjectgenetic algorithmcs
dc.subjectevolutionary algorithmcs
dc.titleGenetic algorithm for the continuous location-routing problemcs
dc.typearticlecs
dc.identifier.doi10.14311/NNW.2019.29.012
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume29cs
dc.description.issue3cs
dc.description.lastpage187cs
dc.description.firstpage173cs
dc.identifier.wos000475843600004


Soubory tohoto záznamu

Tento záznam se objevuje v následujících kolekcích

Zobrazit minimální záznam