Hybrid Artificial Bee Colony and Spherical Vector-Based Particle Swarm Optimization Algorithm for UAV Path Planning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64847-2_34
Reference13 articles.
1. Oroko, J.A., Nyakoe, G.N.: Obstacle Avoidance and Path Planning Schemes for Autonomous Navigation of a Mobile Robot: A Review
2. Santiago, R.M.C., de Ocampo, A.L., Ubando, A.T., et al.: Path planning for mobile robots using genetic algorithm and probabilistic roadmap. HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management 2018-January:1–5 (2017). https://doi.org/10.1109/HNICEM.2017.8269498
3. Mohsan, S.A.H., Khan, M.A., Noor, F., et al.: Towards the unmanned aerial vehicles (UAVs): a comprehensive review. Drones 6, 147 (2022). https://doi.org/10.3390/DRONES6060147
4. Barrion, M.H.C., Bandala, A.A.: UAV Image Clustering Detection of Floating Objects on Floods using Hybrid Firefly Algorithm and Particle Swarm Optimization. In: 2023 IEEE Region 10 Symposium (TENSYMP), pp. 1–6 (2023)
5. Phung, M.D., Ha, Q.P.: Safety-enhanced UAV path planning with spherical vector-based particle swarm optimization. Appl. Soft Comput. 107 (2021). https://doi.org/10.1016/j.asoc.2021.107376
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