A Drone-Based Blood Donation Approach Using an Ant Colony Optimization Algorithm
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Tech Science Press
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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.
Description
Shoaib Sardar, Muhammad/0000-0001-7146-5639
ORCID
Keywords
Network, Ant Colony Algorithm, Path, Complete Graph, Blood Banks, Drones, Travelling Salesman Problem
Fields of Science
Citation
Abbas, Sana...et al. (2023). "A Drone-Based Blood Donation Approach Using an Ant Colony Optimization Algorithm", CMES-Computer Modeling In Engineering & Sciences, Vol. 136, No. 2, pp.1917-1930.
WoS Q
Q1
Scopus Q
Q2

OpenCitations Citation Count
1
Source
Computer Modeling in Engineering & Sciences
Volume
136
Issue
2
Start Page
1917
End Page
1930
PlumX Metrics
Citations
CrossRef : 1
Scopus : 3
Captures
Mendeley Readers : 15
SCOPUS™ Citations
5
checked on Feb 23, 2026
Web of Science™ Citations
3
checked on Feb 23, 2026
Page Views
2
checked on Feb 23, 2026
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