A Survey of Algorithms for Convex Multicommodity Flow Problems
AbstractRouting 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.
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Bibliographic InfoArticle provided by INFORMS in its journal Management Science.
Volume (Year): 46 (2000)
Issue (Month): 1 (January)
Network Optimization; Multicommodity Flows; Message Routing; Convex Programming;
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- Morabito, Reinaldo & de Souza, Mauricio C. & Vazquez, Mariana, 2014. "Approximate decomposition methods for the analysis of multicommodity flow routing in generalized queuing networks," European Journal of Operational Research, Elsevier, vol. 232(3), pages 618-629.
- Gürel, Sinan, 2011. "A conic quadratic formulation for a class of convex congestion functions in network flow problems," European Journal of Operational Research, Elsevier, vol. 211(2), pages 252-262, June.
- Wang, Shuaian, 2014. "A novel hybrid-link-based container routing model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 165-175.
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