Open Access

ARTICLE

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

Sana Abbas¹, Faraha Ashraf¹, Fahd Jarad^2,3,*, 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:

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

Computer Modeling in Engineering & Sciences 2023, 136(2), 1917-1930. https://doi.org/10.32604/cmes.2023.024700

Received 06 June 2022; Accepted 28 September 2022; Issue published 06 February 2023

Abstract

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.

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Keywords

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