The Maximum Flow and Minimum Cost–Maximum Flow Problems: Computing and Applications

W. H. Moolman *

Department of Mathematical Sciences and Computing, Walter Sisulu University, Mthatha, South Africa.

*Author to whom correspondence should be addressed.


Abstract

The maximum flow and minimum cost-maximum flow problems are both concerned with determining flows through a network between a source and a destination. Both these problems can be formulated as linear programming problems. When given information about a network (network flow diagram, capacities, costs), computing enables one to arrive at a solution to the problem. Once the solution becomes available, it has to be applied to a real world problem. The use of the following computer software in solving these problems will be discussed: R (several packages and functions), specially written Pascal programs and Excel SOLVER. The minimum cost-maximum flow solutions to the following problems will also be discussed: maximum flow, minimum cost-maximum flow, transportation problem, assignment problem, shortest path problem, caterer problem.

Keywords: Maximum flow, minimum cost-maximum flow, nodes, arcs, source, sink, capacities, costs, objective function, flow conservation and capacity constraints, algorithm, optimal solution, network optimization, transportation problem, assignment problem, shortest path problem, caterer problem.


How to Cite

Moolman, W. H. 2020. “The Maximum Flow and Minimum Cost–Maximum Flow Problems: Computing and Applications”. Asian Journal of Probability and Statistics 7 (3):28-57. https://doi.org/10.9734/ajpas/2020/v7i330185.

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