Facility Location with Dynamic Distance Functions

dc.contributor.authoren_US
dc.contributor.authorBhatia, Randeepen_US
dc.contributor.authorGuha, Sudiptoen_US
dc.contributor.authorKhuller, Samiren_US
dc.contributor.authorSussmann, Yoram J.en_US
dc.date.accessioned2004-05-31T22:47:54Z
dc.date.available2004-05-31T22:47:54Z
dc.date.created1997-10en_US
dc.date.issued1998-10-15en_US
dc.description.abstractFacility location problems have always been studied with the assumption that the edge lengths in the network are {\em static} and do not change over time. The underlying network could be used to model a city street network for emergency facility location/hospitals, or an electronic network for locating information centers. In any case, it is clear that due to traffic congestion the traversal time on links {\em changes} with time. Very often, we have some estimates as to how the edge lengths change over time, and our objective is to choose a set of locations (vertices) as centers, such that at {\em every} time instant each vertex has a center close to it (clearly, the center close to a vertex may change over time). We also provide approximation algorithms as well as hardness results for the $K$-center problem under this model. This is the first comprehensive study regarding approximation algorithms for facility location for good time-invariant solutions. (Also cross-references as UMIACS-TR-97-70)en_US
dc.format.extent253206 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/917
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3834en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-97-70en_US
dc.titleFacility Location with Dynamic Distance Functionsen_US
dc.typeTechnical Reporten_US

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