Bio-Inspired Multi-UAV Path Planning Heuristics: A Review
Name
mathematics-11-02356.pdf
Description
Published version
Size
5.8 MB
Format
Adobe PDF
Checksum (MD5)
45ea3a88d834e4bc8bd5685d6dc5fff7
Author(s)
Aljalaud, Faten
Kurdi, Heba
Youcef-Toumi, Kamal
Date Issued
2023
Journal
Mathematics
Publisher
MDPI AG
Citation
Aljalaud, Faten, Kurdi, Heba and Youcef-Toumi, Kamal. 2023. "Bio-Inspired Multi-UAV Path Planning Heuristics: A Review." Mathematics, 11 (10).
Version
Final published version
Abstract
Despite the rapid advances in autonomous guidance and navigation techniques for unmanned aerial vehicle (UAV) systems, there are still many challenges in finding an optimal path planning algorithm that allows outlining a collision-free navigation route from the vehicle’s current position to a goal point. The challenges grow as the number of UAVs involved in the mission increases. Therefore, this work provides a comprehensive systematic review of the literature on the path planning algorithms for multi-UAV systems. In particular, the review focuses on biologically inspired (bio-inspired) algorithms due to their potential in overcoming the challenges associated with multi-UAV path planning problems. It presents a taxonomy for classifying existing algorithms and describes their evolution in the literature. The work offers a structured and accessible presentation of bio-inspired path planning algorithms for researchers in this subject, especially as no previous review exists with a similar scope. This classification is significant as it facilitates studying bio-inspired multi-UAV path planning algorithms under one framework, shows the main design features of the algorithms clearly to assist in a detailed comparison between them, understanding current research trends, and anticipating future directions. Our review showed that bio-inspired algorithms have a high potential to approach the multi-UAV path planning problem and identified challenges and future research directions that could help improve this dynamic research area.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.3390/math11102356
