Paper
8 April 2024 Research on mission planning model of multi-aircraft material delivery and supply
Lei Zhang, Jing An, Guangxuan Chen, Yuanyuan Huo, Chunfang Wang
Author Affiliations +
Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130900Y (2024) https://doi.org/10.1117/12.3025577
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China
Abstract
The use of large aircrafts for logistics supply is a key development direction in the future, but the existing research on mission planning problems has few problems and considers the actual environmental factors. This paper mainly considers the actual environmental factors such as aircraft loss and delivery window period, and models the task assignment and path planning of large-scale aircraft for material delivery and supply. On the basis of direct optimization with a basic genetic algorithm, an improved optimization idea and corresponding algorithm combining prior knowledge are proposed, which improves the problem of slow convergence caused by too large search space, and improves the solution speed and optimization effect of the model.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Lei Zhang, Jing An, Guangxuan Chen, Yuanyuan Huo, and Chunfang Wang "Research on mission planning model of multi-aircraft material delivery and supply", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130900Y (8 April 2024); https://doi.org/10.1117/12.3025577
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KEYWORDS
Genetic algorithms

Mathematical optimization

Defense and security

Prior knowledge

Detection and tracking algorithms

Simulations

Transportation

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