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