Optimizing Drone Deployment for Network Coverage Using a Hybrid Ant Colony Optimization and Reinforcement Learning Approach

The efficient deployment of drones to establish an effective communication network is a challenging problem in a variety of use cases, from disaster management to rural coverage. In this study, we present a hybrid optimization strategy using Ant Colony Optimization (ACO) an...

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Bibliographic Details

Published in:	Havacılık ve Uzay Teknolojileri Dergisi
Main Authors:	Anıl Sezgin, Aytuğ Boyacı
Format:	Article
Language:	English
Published:	Turkish Air Force Academy 2025-07-01
Subjects:	drone deployment ant colony optimization deep reinforcement learning network coverage
Online Access:	https://jast.hho.msu.edu.tr/index.php/JAST/article/view/635/443