DocumentCode :
1781592
Title :
Polyhedral study for the maximum bounded r-tree problem
Author :
Kerivin, Herve ; Jinhua Zhao
Author_Institution :
LIMOS, Aubiere, France
fYear :
2014
fDate :
3-5 Nov. 2014
Firstpage :
140
Lastpage :
145
Abstract :
Given an undirected graph G, a specific node r, and capacity on the nodes, the maximum bounded r-tree problem consists of finding a tree of G rooted at r containing as many nodes as possible with respect to the node capacities. This NP-hard optimization problem has been recently considered in the context of peer-to-peer networks. In this work, we study the associated polytope, in the space of edge variables. We introduce several families of facet-defining inequalities which lead to complete polyhedral descriptions of the polytope as well as total dual integrality of the defining linear system on trees and cycles. We also address their separation problems and present some preliminary computational results obtained by our branch-and-cut algorithm.
Keywords :
computational complexity; duality (mathematics); optimisation; tree searching; NP-hard optimization problem; branch-and-cut algorithm; edge variables; linear system; maximum bounded r-tree problem; node capacity; peer-to-peer networks; polyhedral descriptions; polytope; total dual integrality; undirected graph; Context; Extremities; Linear programming; Linear systems; Optimization; Peer-to-peer computing; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Decision and Information Technologies (CoDIT), 2014 International Conference on
Conference_Location :
Metz
Type :
conf
DOI :
10.1109/CoDIT.2014.6996883
Filename :
6996883
Link To Document :
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