On the max-weight edge coloring problem
dc.contributor.author | Lucarelli, Giorgio
HAL ID: 5944 ORCID: 0000-0001-7368-355X | |
dc.contributor.author | Milis, Ioannis | |
dc.contributor.author | Paschos, Vangelis | |
dc.date.accessioned | 2009-10-30T14:27:03Z | |
dc.date.available | 2009-10-30T14:27:03Z | |
dc.date.issued | 2010 | |
dc.identifier.uri | https://basepub.dauphine.fr/handle/123456789/2373 | |
dc.language.iso | en | en |
dc.subject | Weighted edge coloring | en |
dc.subject | Polynomial algorithms | en |
dc.subject | Approximation algorithms | en |
dc.subject.ddc | 003 | en |
dc.title | On the max-weight edge coloring problem | en |
dc.type | Article accepté pour publication ou publié | |
dc.contributor.editoruniversityother | Department of Informatics, Athens University of Economics and Business;Grèce | |
dc.description.abstracten | We study the following generalization of the classical edge coloring problem: Given a weighted graph, find a partition of its edges into matchings (colors), each one of weight equal to the maximum weight of its edges, so that the total weight of the partition is minimized. We explore the frontier between polynomial and NP-hard variants of the problem, with respect to the class of the underlying graph, as well as the approximability of NP-hard variants. In particular, we present polynomial algorithms for bounded degree trees and star of chains, as well as an approximation algorithm for bipartite graphs of maximum degree at most twelve which beats the best known approximation ratios. | en |
dc.relation.isversionofjnlname | Journal of Combinatorial Optimization | |
dc.relation.isversionofjnlvol | 20 | en |
dc.relation.isversionofjnlissue | 4 | en |
dc.relation.isversionofjnldate | 2010 | |
dc.relation.isversionofjnlpages | 429-442 | en |
dc.relation.isversionofdoi | http://dx.doi.org/10.1007/s10878-009-9223-z | en |
dc.description.sponsorshipprivate | oui | en |
dc.relation.isversionofjnlpublisher | Springer Netherlands | en |
dc.subject.ddclabel | Recherche opérationnelle | en |