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Optimizing time–cost trade-off decisions in an interval transportation problem with multiple shipment options
Published in Engineering Optimization, 2023
Shalabh Singh
The minimum cost flow problem is constructed by taking the minimum cost coefficient among all the multi-choice costs of the problem . Since the problem has m sources, n destinations and k multi-choice cost values, the computational complexity for taking the minimum cost is . The best-known strongly polynomial-time algorithm for an uncapacitated minimum cost flow problem with ‘n’ nodes and ‘m’ arcs is (Orlin 1993). The problem has ‘’ nodes and ‘’ arcs. So, the computational complexity is , which is a polynomial-time algorithm. To get all the Pareto optimal time–cost pairs for problem , a finite number of minimum cost flow problems () are solved, and so the above algorithm is also a polynomial-time algorithm.