Comparative Analysis of Multi-Objective Metaheuristic Algorithms for UAV Path Planning in Complex 3D Environments

DOI

10.2991/978-94-6239-697-5_15How to use a DOI?

Keywords

UAV Path Planning; Multi-Objective Optimization; Metaheuristic Algorithms; NMOPSO; Marine Predators Algorithm; Harris Hawks Optimization; NSGA-II; Pareto Optimization

Abstract

Unmanned aerial vehicles, or UAVs, are becoming more and more significant in a number of applications, such as delivery, search and rescue, and surveillance. UAV path planning in intricate 3D landscapes with numerous obstacles is still a difficult multi-objective optimization problem. Four multi-objective metaheuristic algorithms for UAV path planning are thoroughly compared in this study: Navigation Variable based Multi-Objective Particle Swarm Optimization, Improved MultiObjective Marine Predators Algorithm, Non-dominated Sorting Genetic Algorithm II and Enhanced Multi-Objective Harris Hawks Optimization. Four competing goals—path length minimization, collision avoidance, flying altitude optimization, and path smoothness—are used to assess the algorithms. Numerous tests were carried out using 100 separate runs in four distinct situations with various obstacle designs. The results show that IMOMPA performs 20.82% better than the baseline NMOPSO algorithm, with an average weighted score of 0.041242 as opposed to NMOPSO’s 0.052089. The results offer useful information for choosing suitable optimization techniques for practical UAV path planning applications.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Rupesh Pal
AU  - Pinky Pinky
AU  - Karan Verma
PY  - 2026
DA  - 2026/06/04
TI  - Comparative Analysis of Multi-Objective Metaheuristic Algorithms for UAV Path Planning in Complex 3D Environments
BT  - Proceedings of the Conference on Bridging Engineering Disciplines with AI and Machine Learning (BEDAIML 2026)
PB  - Atlantis Press
SP  - 165
EP  - 179
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-697-5_15
DO  - 10.2991/978-94-6239-697-5_15
ID  - Pal2026
ER  -