A Lagrangean Relaxation Approach for the Modular Hub Location Problem

Hub location problems deal with the location of hub facilities and the allocation of the demand nodes to hub facilities so as to effectively route the demand between origin–destination pairs. Transportation systems such as mail, freight, passenger and even telecommunication systems most often employ...

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Main Author: Hosseini, Seyed Babak
Format: Others
Published: 2013
Online Access:http://spectrum.library.concordia.ca/977938/1/Hosseini_MASc_S2014.pdf
Hosseini, Seyed Babak <http://spectrum.library.concordia.ca/view/creators/Hosseini=3ASeyed_Babak=3A=3A.html> (2013) A Lagrangean Relaxation Approach for the Modular Hub Location Problem. Masters thesis, Concordia University.
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-QMG.9779382014-07-04T04:41:59Z A Lagrangean Relaxation Approach for the Modular Hub Location Problem Hosseini, Seyed Babak Hub location problems deal with the location of hub facilities and the allocation of the demand nodes to hub facilities so as to effectively route the demand between origin–destination pairs. Transportation systems such as mail, freight, passenger and even telecommunication systems most often employ hub and spoke networks to provide a strong balance between high service quality and low costs resulting in an economically competitive operation. In this study the Modular Hub Location Problem (Multiple assignments without direct connections) (MHLP-MA) is introduced. A Lagrangean relaxation method is used to approximately solve large scale instances. It relaxes a set of complicating constraints to efficiently obtain lower and upper bounds on the optimal solution of the problem. Computational experiments are performed in order to evaluate the effectiveness and limitations of the proposed model and solution method. 2013-10-11 Thesis NonPeerReviewed application/pdf http://spectrum.library.concordia.ca/977938/1/Hosseini_MASc_S2014.pdf Hosseini, Seyed Babak <http://spectrum.library.concordia.ca/view/creators/Hosseini=3ASeyed_Babak=3A=3A.html> (2013) A Lagrangean Relaxation Approach for the Modular Hub Location Problem. Masters thesis, Concordia University. http://spectrum.library.concordia.ca/977938/
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description Hub location problems deal with the location of hub facilities and the allocation of the demand nodes to hub facilities so as to effectively route the demand between origin–destination pairs. Transportation systems such as mail, freight, passenger and even telecommunication systems most often employ hub and spoke networks to provide a strong balance between high service quality and low costs resulting in an economically competitive operation. In this study the Modular Hub Location Problem (Multiple assignments without direct connections) (MHLP-MA) is introduced. A Lagrangean relaxation method is used to approximately solve large scale instances. It relaxes a set of complicating constraints to efficiently obtain lower and upper bounds on the optimal solution of the problem. Computational experiments are performed in order to evaluate the effectiveness and limitations of the proposed model and solution method.
author Hosseini, Seyed Babak
spellingShingle Hosseini, Seyed Babak
A Lagrangean Relaxation Approach for the Modular Hub Location Problem
author_facet Hosseini, Seyed Babak
author_sort Hosseini, Seyed Babak
title A Lagrangean Relaxation Approach for the Modular Hub Location Problem
title_short A Lagrangean Relaxation Approach for the Modular Hub Location Problem
title_full A Lagrangean Relaxation Approach for the Modular Hub Location Problem
title_fullStr A Lagrangean Relaxation Approach for the Modular Hub Location Problem
title_full_unstemmed A Lagrangean Relaxation Approach for the Modular Hub Location Problem
title_sort lagrangean relaxation approach for the modular hub location problem
publishDate 2013
url http://spectrum.library.concordia.ca/977938/1/Hosseini_MASc_S2014.pdf
Hosseini, Seyed Babak <http://spectrum.library.concordia.ca/view/creators/Hosseini=3ASeyed_Babak=3A=3A.html> (2013) A Lagrangean Relaxation Approach for the Modular Hub Location Problem. Masters thesis, Concordia University.
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