International Academy of Ecology and Environmental Sciences
Network Biology
2220-8879
12
3
2022
9
1
Using the binary representation of arc capacity in a polynomial time
algorithm for the constrained maximum flow problem in directed
networks
81-96
EN
Muhammad Tlas
http://www.iaees.org/publications/journals/nb/articles/2022-12(3)/constrained-maximum-flow-problem-in-directed-networks.pdf>
In this paper, the binary representation of arc capacity has been used in developing an efficient polynomial time algorithm for the constrained maximum flow problem in directed networks. The algorithm is basically based on solving the maximum flow problem as a sequence of O(n2) shortest path problems on residual directed networks with n nodes generated during iterations. The complexity of the algorithm is estimated to be no more than O(n2mr) arithmetic operations, where m denotes the number of arcs in the network, and r is the smallest integer greater than or equal to log B (B denotes the largest arc capacity in the directed network). Generalization of the algorithm has been also performed in order to solve the maximum flow problem in a directed network subject to non-negative lower bound on the flow vector. A formulation of the simple transportation problem, as a maximal network flow problem has been also performed. Numerical example has been inserted to illustrate the use of the proposed algorithm.