Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms

Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms

Modern technologies, particularly artificial intelligence, play a crucial role in improving medical waste management by developing intelligent systems that optimize the shortest routes for waste transport, from its generation to final disposal. Algorithms such as Q-learning and Deep Q Network enhanc...

Full description

Saved in:
Bibliographic Details
Main Authors: Norhan Khallaf, Osama Abd-El Rouf, Abeer D. Algarni, Mohy Hadhoud, Ahmed Kafafy
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Artificial Intelligence
Subjects:
closed capacity vehicle routing problem
Q learning
DQN
medical waste routing optimization
unsupervised learning algorithm
hybrid optimization algorithms
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2025.1496653/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/frai.2025.1496653/full

Similar Items