Minimum-weight two-connected spanning networks
Mathematical Programming: Series A and B
Integer polyhedra arising from certain network design problems with connectivity constraints
SIAM Journal on Discrete Mathematics
The convex hull of two core capacitated network design problems
Mathematical Programming: Series A and B
Optimal capacity placement for path restoration in STM or ATM mesh-survivable networks
IEEE/ACM Transactions on Networking (TON)
Minimum cost capacity installation for multicommodity network flows
Mathematical Programming: Series A and B - Special issue on computational integer programming
Network Design Using Cut Inequalities
SIAM Journal on Optimization
A Cutting Plane Algorithm for Multicommodity Survivable Network Design Problems
INFORMS Journal on Computing
Spare-Capacity Assignment For Line Restoration Using a Single-Facility Type
Operations Research
Connectivity Upgrade Models for Survivable Network Design
Operations Research
SNDlib 1.0—Survivable Network Design Library
Networks - Network Optimization (INOC 2007)
Solving survivable two-layer network design problems by metric inequalities
Computational Optimization and Applications
An improved Benders decomposition applied to a multi-layer network design problem
Operations Research Letters
Metric inequalities and the Network Loading Problem
Discrete Optimization
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This paper considers the problem of designing a multicommodity network with single facility type subject to the requirement that under failure of any single edge, the network should permit a feasible flow of all traffic. We study the polyhedral structure of the problem by considering the multigraph obtained by shrinking the nodes, but not the edges, in a k-partition of the original graph. A key theorem is proved according to which a facet of the k-node problem defined on the multigraph resulting from a k-partition is also facet defining for the larger problem under a mild condition. After reviewing the prior work on two-partition inequalities, we develop two classes of three-partition inequalities and a large number of inequality classes based on four-partitions. Proofs of facet-defining status for some of these are provided, while the rest are stated without proof. Computational results show that the addition of three-and four-partition inequalities results in substantial increase in the bound values compared to those possible with two-partition inequalities alone. Problems of 35 nodes and 80 edges with fully dense traffic matrices have been solved optimally within a few minutes of computer time.