Optimal solution of the discrete cost multicommodity network design problem

Title Optimal solution of the discrete cost multicommodity network design problem
Author Mrad, M., Haouari, Mohamed
Publication Date: 2008-10-15
Publication Place - Elsevier
Subject Network design, Synthesis of capacitated networks, Multicommodity flows, Constraint generation
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 0096-3003
Record ID 4ac4c14c-3777-4f60-aaca-c7c28b013b82
Library Location Industrial Engineering
Date 2008-10-15
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text We investigate a multicommodity network design problem where a discrete set of Technologies with step-increasing cost and capacity functions should be installed on the edges. This problem is a fundamental network design problem having many important applications in contemporary telecommunication networks. We describe an exact constraint generation approach and we show that the conjunctive use of valid inequalities, bipartition inequalities that are generated using max-flow computations, as well as an exact separation algorithm of metric inequalities makes it feasible to solve to optimality instances with up to 50 nodes and 100 edges.
DOI 10.1016/j.amc.2008.07.031
Cilt 204
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Optimal solution of the discrete cost multicommodity network design problem

Author Mrad, M., Haouari, Mohamed
Publication Date 2008-10-15
Publication Place - Elsevier
Subject Network design, Synthesis of capacitated networks, Multicommodity flows, Constraint generation
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 0096-3003
Record ID 4ac4c14c-3777-4f60-aaca-c7c28b013b82
Library Location Industrial Engineering
Date 2008-10-15
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text We investigate a multicommodity network design problem where a discrete set of Technologies with step-increasing cost and capacity functions should be installed on the edges. This problem is a fundamental network design problem having many important applications in contemporary telecommunication networks. We describe an exact constraint generation approach and we show that the conjunctive use of valid inequalities, bipartition inequalities that are generated using max-flow computations, as well as an exact separation algorithm of metric inequalities makes it feasible to solve to optimality instances with up to 50 nodes and 100 edges.
DOI 10.1016/j.amc.2008.07.031
Cilt 204
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