The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
A novel hybrid grey wolf optimizer algorithm for unmanned aerial vehicle (UAV) path planning
Abstract
Abstract Unmanned aerial vehicle (UAV) path planning problem is an important component of UAV mission planning system, which needs to obtain optimal route in the complicated field. To solve this problem, a novel hybrid algorithm called HSGWO-MSOS is proposed by combining simplified grey wolf optimizer (SGWO) and modified symbiotic organisms search (MSOS). In the proposed algorithm, the exploration and exploitation abilities are combined efficiently. The phase of the GWO algorithm is simplified to accelerate the convergence rate and retain the exploration ability of the population. The commensalism phase of the SOS algorithm is modified and synthesized with the GWO to improve the exploitation ability. In addition, the convergence analysis of the proposed HSGWO-MSOS algorithm is presented based on the method of linear difference equation. The cubic B-spline curve is used to smooth the generated flight route and make the planning path be suitable for the UAV. The simulation experimental results show that the HSGWO-MSOS algorithm can acquire a feasible and effective route successfully, and its performance is superior to the GWO, SOS and SA algorithm.
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Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2013.12.007 · Cited by 19,343
Symbiotic Organisms Search: A new metaheuristic optimization algorithm
Cheng, M.-Y., & Prayogo, D. (2014) · Computers & Structures · doi:10.1016/j.compstruc.2014.03.007 · Cited by 1,575
Hybrid Whale Optimization Algorithm with simulated annealing for feature selection
Mafarja, M. M., & Mirjalili, S. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.04.053 · Cited by 1,148
Survey on computational-intelligence-based UAV path planning
Zhao, Y., Zheng, Z., & Liu, Y. (2018) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.05.033 · Cited by 418
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
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Enhanced discrete particle swarm optimization path planning for UAV vision-based surface inspection
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Grey wolf optimizer for unmanned combat aerial vehicle path planning
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Cited by
UAV Path Planning Using Optimization Approaches: A Survey
Ait Saadi, A., Soukane, A., Meraihi, Y., Benmessaoud Gabis, A., Mirjalili, S., & Ramdane-Cherif, A. (2022) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-022-09742-7 · Cited by 269
Optimization Methods Applied to Motion Planning of Unmanned Aerial Vehicles: A Review
Israr, A., Ali, Z. A., Alkhammash, E. H., & Jussila, J. J. (2022) · Drones · doi:10.3390/drones6050126 · Cited by 61
Metadata
- Authors
- Qu, C., Gai, W., Zhang, J., & Zhong, M.
- Venue
- Knowledge-Based Systems
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 194
- Pages
- 105530
- ISSN
- 0950-7051 (ISSN-L)
- OpenAlex
- W3003498136
- Cited by
- 282
- References
- 30
- FWCI
- 14.11
- Type
- journal article
- Language
- en
- Open access
- closed
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