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A Drone-Based Blood Donation Approach Using an Ant Colony Optimization Algorithm

Sana Abbas1, Faraha Ashraf1, Fahd Jarad2,3,*, Muhammad Shoaib Sardar1, Imran Siddique4

1 School of Mathematics, Minhaj University, Lahore, 54770, Pakistan
2 Department of Mathematics, Cankaya University, Etimesgut, Ankara, 06790, Turkey
3 Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan
4 Department of Mathematics, University of Management and Technology, Lahore, 54770, Pakistan

* Corresponding Author: Fahd Jarad. Email: email

(This article belongs to this Special Issue: Resolvability Parameters and their Applications)

Computer Modeling in Engineering & Sciences 2023, 136(2), 1917-1930.


This article presents an optimized approach of mathematical techniques in the medical domain by manoeuvring the phenomenon of ant colony optimization algorithm (also known as ACO). A complete graph of blood banks and a path that covers all the blood banks without repeating any link is required by applying the Travelling Salesman Problem (often TSP). The wide use promises to accelerate and offers the opportunity to cultivate health care, particularly in remote or unmerited environments by shrinking lab testing reversal times, empowering just-in-time lifesaving medical supply.


Cite This Article

Abbas, S., Ashraf, F., Jarad, F., Sardar, M. S., Siddique, I. (2023). A Drone-Based Blood Donation Approach Using an Ant Colony Optimization Algorithm. CMES-Computer Modeling in Engineering & Sciences, 136(2), 1917–1930.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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