Paper
3 January 2025 An aircraft recovery method based on ALNS
Nan Xu, Fan Yang, Jingling Wu, Xianying Chang
Author Affiliations +
Proceedings Volume 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024); 134420D (2025) https://doi.org/10.1117/12.3054285
Event: Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 2024, Kaifeng, China
Abstract
The issue of irregular flight recovery has been a challenging problem in the field of operations research. Here we propose aircraft recovery method based on ALNS (adaptive large neighborhood search) algorithm. By utilizing the ALNS, it is possible to search in multiple neighborhoods of the current solution, greatly increasing the search range of the algorithm in the solution space. Multiple operators are used and the operators to be used in the next iteration are selected based on their historical performance and frequency of utilization. The idea of Tabu search is also incorporated to avoid repeated searches for the same neighborhood. The algorithm proposed in this paper has achieved good results in practical application.
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Nan Xu, Fan Yang, Jingling Wu, and Xianying Chang "An aircraft recovery method based on ALNS", Proc. SPIE 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 134420D (3 January 2025); https://doi.org/10.1117/12.3054285
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KEYWORDS
Evolutionary algorithms

Artificial intelligence

Computer programming

Gold

Industry

Lutetium

Machine learning

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