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Journal ArticleDOI

A polyhedral approach to multicommodity survivable network design

Mechthild Stoer, +1 more
- 01 Jun 1994 - 
- Vol. 68, Iss: 1, pp 149-167
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TLDR
In this paper, the authors studied the problem of extending the capacity of a network by discrete steps as cheaply as possible, such that the given traffic demand can be accommodated even when a single edge or node in the network fails.
Abstract
The design of cost-efficient networks satisfying certain survivability constraints is of major concern to the telecommunications industry. In this paper we study a problem of extending the capacity of a network by discrete steps as cheaply as possible, such that the given traffic demand can be accommodated even when a single edge or node in the network fails. We derive valid and nonredundant inequalities for the polyhedron of capacity design variables, by exploiting its relationship to connectivity network design and knapsack-like subproblems. A cutting plane algorithm and heuristics for the problem are described, and preliminary computational results are reported.

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Citations
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Book

Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice

TL;DR: The Exponential Potential Function - Key Ideas and Computational Experiments are presented.
Journal ArticleDOI

Optical network design and restoration

TL;DR: This paper reports test results for large carrier-scale networks that indicate that subsecond restoration, high capacity efficiency, and scalability can be achieved without fault isolation and with moderate processing.
Journal ArticleDOI

A survey on benders decomposition applied to fixed-charge network design problems

TL;DR: Network design problems concern the selection of arcs in a graph in order to satisfy, at minimum cost, some flow requirements, usually expressed in the form of origin-destination pair demands.
Book ChapterDOI

Multicommodity Capacitated Network Design

TL;DR: Network design models have wide applications in telecommunications and transportation planning and the objective is to determine the optimal amounts of flows to be routed and the facilities to be installed.
Journal ArticleDOI

Minimum cost capacity installation for multicommodity network flows

TL;DR: This paper considers the problem of minimum cost installation of capacity on the arcs to ensure that the required demands can be shipped simultaneously between node pairs and describes two classes of strong valid inequalities.
References
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Book

Theory of Linear and Integer Programming

TL;DR: Introduction and Preliminaries.
Book

Integer and Combinatorial Optimization

TL;DR: This chapter discusses the Scope of Integer and Combinatorial Optimization, as well as applications of Special-Purpose Algorithms and Matching.
Book

Graphs and hypergraphs

Claude Berge
Journal ArticleDOI

Solving Large-Scale Zero-One Linear Programming Problems

TL;DR: The results indicate that cutting-planes related to the facets of the underlying polytope are an indispensable tool for the exact solution of this class of problem.
Journal ArticleDOI

Computational results with a cutting plane algorithm for designing communication networks with low-connectivity constraints

TL;DR: Computer results on real-world telephone network design problems demonstrate the effectiveness of the cutting plane method, which can be formulated as a minimum cost network design problem with certain low-connectivity constraints.
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