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7 September 2023 Research on logistics unmanned aerial vehicle (UAV) delivery system based on heuristic algorithm
Xiaojing Zhu
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Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127906S (2023) https://doi.org/10.1117/12.2689894
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China
Abstract
Logistics drones (also known as UAV) have the advantages of small size and fast speed, so logistics enterprises are gradually using drones for cargo transportation. How to plan a feasible flight path for logistics drones based on flight environment information is a key problem that needs to be solved during the process of over the line of sight flight. Therefore, this article establishes a mathematical model for logistics drones based on their physical performance. On this basis, we have established a multi-objective mathematical model to improve the transportation efficiency of logistics drones and reduce energy consumption during the transportation process. Further based on the mathematical model, a new heuristic algorithm, the whale optimization algorithm (WOA) based on evolutionary strategy, has been developed. Finally, a simulation experiment was conducted to demonstrate the effectiveness of the model and algorithm designed in this paper. The simulation results show that compared with genetic algorithm and whale optimization algorithm, the algorithm designed in this paper has the best performance.
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Xiaojing Zhu "Research on logistics unmanned aerial vehicle (UAV) delivery system based on heuristic algorithm", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127906S (7 September 2023); https://doi.org/10.1117/12.2689894
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KEYWORDS
Unmanned aerial vehicles
Mathematical modeling
Particle swarm optimization
Mathematical optimization
Transportation
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