ON MAXIMUM FLOW OF NETWORKS

Authors

  • Suzaimah Ramli Department of Computer Science, Faculty of Science & Defence Technology, National Defence Universiti of Malaysia, Sg. Besi Camp, Kuala Lumpur, Malaysia
  • Khairani Abd Majid Department of Defence Science, Faculty of Science & Defence Technology, National Defence Universiti of Malaysia, Sg. Besi Camp, Kuala Lumpur, Malaysia
  • Zaharin Yusoff Institute of Research, Development & Innovation, International Medical University (IMU), 126, Jln Jalil Perkasa 19, Bukit Jalil, 57000 Kuala Lumpur, Malaysia
  • Norazman Mohamad Nor Department of Civil Engineering, Faculty of Engineering, National Defence Universiti of Malaysia, Sg. Besi Camp, Kuala Lumpur, Malaysia
  • Nor Afiza Mat Razali Department of Computer Science, Faculty of Science & Defence Technology, National Defence Universiti of Malaysia, Sg. Besi Camp, Kuala Lumpur, Malaysia

Keywords:

Dinic’s Algorithm, Flow Network, Ford-Fulkerson Algorithm, Maximum Flow, Pseudocode

Abstract

This paper aims to introduce and discuss two existing algorithms, namely Ford-Fulkerson’s Algorithm and Dinic’s Algorithm. These algorithms are for determining the maximum flow from source (s) to sink (t) in a flow network. A numerical example is solved to illustrate both algorithms, and to demonstrate, study, and compare the procedures at each iteration. The results show that Dinic’s Algorithm returns the maximum flow that takes less number of iterations and augmentations than the Ford-Fulkerson Algorithm. In terms of complexity, the running time of Dinic’s algorithm is , which should make it perform better on dense graphs. This goes to show that the claim by many researchers that Dinic’s Algorithm is very powerful in solving big network flow problems is justified.

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Published

27-12-2022

How to Cite

Ramli, S., Abd Majid, K., Zaharin Yusoff, Norazman Mohamad Nor, & Nor Afiza Mat Razali. (2022). ON MAXIMUM FLOW OF NETWORKS. Zulfaqar Journal of Defence Science, Engineering & Technology, 6(1). Retrieved from https://zulfaqarjdset.upnm.edu.my/index.php/zjdset/article/view/68

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Articles