INTRODUCTION
The multicommodity minimal cost network flow problem may be described in terms of a distribution problem over a network [V, E], where V is the node set with order n and E is the arc set with order m. The decision variable x jk denotes the flow of commodity k through arc j, and the vector of all flows of commodity k is denoted by xvk = [x 1k,..., x mk]. The unit cost of flow of commodity k through arc j is denoted by c jk and the corresponding vector of costs by cvk = [c 1k,..., c mk]. The total capacity of arc j is denoted by b j with corresponding vector bv = [b 1,..., b m]. Mathematically, the multicommodity minimal cost network flow problem may be defined as follows:
where K denotes the number of commodities, Av is a node-arc incidence matrix for [V, E], rvk is the requirements vector for commodity k, and uvk is the vector of upper bounds for decision variable xvk.
Multicommodity network flow problems are extensively studied because of their numerous applications and...
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Shetty, B. (2001). Multicommodity network flows. In: Gass, S.I., Harris, C.M. (eds) Encyclopedia of Operations Research and Management Science. Springer, New York, NY. https://doi.org/10.1007/1-4020-0611-X_645
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