A Hybrid Optimization Framework for Dynamic Drone Networks: Integrating Genetic Algorithms with Reinforcement Learning

A Hybrid Optimization Framework for Dynamic Drone Networks: Integrating Genetic Algorithms with Reinforcement Learning

The growing use of unmanned aerial vehicles (UAVs) in diverse fields such as disaster recovery, rural regions, and smart cities necessitates effective dynamic drone network establishment techniques. Conventional optimization techniques like genetic algorithms (GAs) and particle swarm optimization (P...

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Bibliographic Details
Main Authors: Mustafa Ulaş, Anıl Sezgin, Aytuğ Boyacı
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
drone networks
unmanned aerial vehicles
genetic algorithms
reinforcement learning
Q-learning
multi-objective optimization
Online Access:https://www.mdpi.com/2076-3417/15/9/5176
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