1 Search Results for "Tsaggouris, George"


Document
QoS-aware Multicommodity Flows and Transportation Planning

Authors: George Tsaggouris and Christos Zaroliagis

Published in: OASIcs, Volume 5, 6th Workshop on Algorithmic Methods and Models for Optimization of Railways (ATMOS'06) (2006)


Abstract
We consider the emph{QoS-aware Multicommodity Flow} problem, a natural generalization of the weighted multicommodity flow problem where the demands and commodity values are elastic to the Quality-of-Service characteristics of the underlying network. The problem is fundamental in transportation planning and also has important applications beyond the transportation domain. We provide a FPTAS for the QoS-aware Multicommodity Flow problem by building upon a Lagrangian relaxation method and a recent FPTAS for the non-additive shortest path problem.

Cite as

George Tsaggouris and Christos Zaroliagis. QoS-aware Multicommodity Flows and Transportation Planning. In 6th Workshop on Algorithmic Methods and Models for Optimization of Railways (ATMOS'06). Open Access Series in Informatics (OASIcs), Volume 5, pp. 1-14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)


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@InProceedings{tsaggouris_et_al:OASIcs.ATMOS.2006.682,
  author =	{Tsaggouris, George and Zaroliagis, Christos},
  title =	{{QoS-aware Multicommodity Flows and Transportation Planning}},
  booktitle =	{6th Workshop on Algorithmic Methods and Models for Optimization of Railways (ATMOS'06)},
  pages =	{1--14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-01-9},
  ISSN =	{2190-6807},
  year =	{2006},
  volume =	{5},
  editor =	{Jacob, Riko and M\"{u}ller-Hannemann, Matthias},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2006.682},
  URN =		{urn:nbn:de:0030-drops-6827},
  doi =		{10.4230/OASIcs.ATMOS.2006.682},
  annote =	{Keywords: Quality of service, multicommodity flows, fully polynomial approximation scheme, transportation planning}
}
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