Capacity and flow assignment of data networks by generalized Benders decomposition
Journal of Global Optimization
An Augmented Lagrangian Algorithm for Large Scale Multicommodity Routing
Computational Optimization and Applications
Minimum-cost multicast over coded packet networks
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
A proximal subgradient projection algorithm for linearly constrained strictly convex problems
Optimization Methods & Software
A two-stage stochastic programming model for transportation network protection
Computers and Operations Research
Model of optimal paths design for GMPLS network and evaluation of solution
WSEAS TRANSACTIONS on SYSTEMS
Model of optimal paths design for GMPLS network and algorithm based on Lagrangian relaxation method
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
A bundle-type algorithm for routing in telecommunication data networks
Computational Optimization and Applications
Discrete capacity and flow assignment algorithms with performance guarantee
Computer Communications
Bounds for global optimization of capacity expansion and flow assignment problems
Operations Research Letters
Optimal Location of Data Centers and Software Components in Cloud Computing Network Design
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
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Routing problems appear frequently when dealing with the operation of communication or transportation networks. Among them, the message routing problem plays a determinant role in the optimization of network performance. Much of the motivation for this work comes from this problem which is shown to belong to the class of nonlinear convex multicommodity flow problems. This paper emphasizes the message routing problem in data networks, but it includes a broader literature overview of convex multicommodity flow problems. We present and discuss the main solution techniques proposed for solving this class of large-scale convex optimization problems. We conduct some numerical experiments on the message routing problem with four different techniques.