Difference of Convex Functions Optimization Methods: Algorithm of Minimum Maximal Network Flow Problem with Time-Windows

Authors

  • Nasser A. El-Sherbeny Mathematics Department, Faculty of Science, Al-Azhar University, Nasr City(11884), Cairo, Egypt Mathematics Department, Faculty of Applied Medical Science, Taif University, Turabah, KSA

Keywords:

Optimization network, Minimum flow problem, Difference of convex functions optimization, Time-windows.

Abstract

In this paper, we consider the minimum maximal network flow problem, i.e., minimizing the flow value, minimizing the total time among maximal flow with time-windows, which is a combinatorial optimization and an NP-hard problem. After a mathematical modeling problem, we introduce some formulations of the problem and one of them is a minimization of a concave function over a convex set. The problem can also be cast into a difference of convex functions programming (nonconvex optimization). We propose in this work a new algorithm for solving the Minimum Maximal Network Flow Problem with Time-Windows (MMNFPTW).

References

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Published

2016-01-03

How to Cite

A. El-Sherbeny, N. (2016). Difference of Convex Functions Optimization Methods: Algorithm of Minimum Maximal Network Flow Problem with Time-Windows. International Journal of Sciences: Basic and Applied Research (IJSBAR), 25(1), 67–81. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/4774

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