1998
DOI: 10.1287/inte.28.2.32
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Advances in Solving the Multicommodity-Flow Problem

Abstract: The multicommodity-flow problem arises in a wide variety of important applications. Many communications, logistics, manufacturing, and transportation problems can be formulated as large multicommodity-flow problems. During the last few years researchers have made steady advances in solving extremely large multicommodity-flow problems. This improvement has been due both to algorithmic and to hardware advances. At present the primal simplex method using the basis-partitioning approach gives excellent solution ti… Show more

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Cited by 37 publications
(14 citation statements)
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“…Furthermore, the available algorithms usually assume that variables may have fractional values (Ahuja et al [2], McBride [12]). Solution approaches for integer multi-commodity flow problems were studied by Barnhart et al [4], based on branch-and-price techniques.…”
Section: Solution Approachmentioning
confidence: 99%
“…Furthermore, the available algorithms usually assume that variables may have fractional values (Ahuja et al [2], McBride [12]). Solution approaches for integer multi-commodity flow problems were studied by Barnhart et al [4], based on branch-and-price techniques.…”
Section: Solution Approachmentioning
confidence: 99%
“…A multi-commodity flow problem is a kind of network flow problem where multiple commodities are routed between different sources and sinks [29]. In STFN, we use different commodities to indicate the distinction between the topological relations of different connected S-T pairs (the term "A connect to B" is used for simplicity in a directed graph and means exactly that A can reach B or B can reach A).…”
Section: Modelling Long-term Transition As Multi-commodity Flowmentioning
confidence: 99%
“…The table clearly shows that (MMCF) instances with very many commodities cannot be solved in reasonable time by standard (LP) techniques, while a Lagrangian approach can be successfully used to compute an optimal solution to the problem. We should point out that specialized (LP) techniques, such as those of McBride (1998), Castro (2000, may be competitive with Lagrangian ones-but in fact the Lagrangian approach applied to this case is a specialized (LP) technique itself, namely a variant of the Dantzig-Wolfe decomposition algorithm. An interesting feature of the Lagrangian approach is that it can be more easily adapted to related but different problems (e.g.…”
Section: Enumerative Algorithmsmentioning
confidence: 99%