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Frequency Assignment of Air Navigation Station Based on Multi-objective Genetic Local Search Algorithm
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Ya-jun XU, Bo-yang HAO*, Tian-lu GAO, Qiang ZHANG, He-de LU, Bao-hong ZENG
Science Technology and Engineering | 2025, 25(15) : 6530 - 6537
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Science Technology and Engineering | 2025, 25(15): 6530-6537
Papers·Aeronautics and Astronautics
Frequency Assignment of Air Navigation Station Based on Multi-objective Genetic Local Search Algorithm
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Ya-jun XU, Bo-yang HAO*, Tian-lu GAO, Qiang ZHANG, He-de LU, Bao-hong ZENG
Affiliations
  • College of Air Traffic Management, Civil Aviation Flight University of China, Deyang 618307, China
Published: 2025-05-28 doi: 10.12404/j.issn.1671-1815.2405282
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With the rapid advancement of air transport aviation and general aviation, the frequency assignment of air navigation stations has become increasingly crucial. A comprehensive algorithm was presented for assigning frequencies to individual air navigation stations. Subsequently, in order to address the issue of frequency assignment for multiple aviation navigation stations, a model was established specifically for civil aviation navigation stations. Finally, considering the limitations of traditional multi-objective genetic algorithms such as slow convergence speed and susceptibility to local optimal solutions, a multi-objective genetic algorithm along with a multi-objective genetic local search algorithm based on optimal weight allocation was proposed to effectively solve the frequency assignment problem faced by aviation navigation stations. The problem encompasses several objectives including minimizing frequency interference and utilizing the minimum number of frequencies required. Simulation results demonstrate that our proposed multi-objective genetic local search algorithm successfully resolves the frequency assignment problem encountered by air navigation stations. In comparison with traditional multi-objective genetic algorithms and those incorporating optimized weight allocation, our proposed algorithm significantly enhances solution quality, convergence speed, and stability.

multi-objective genetic algorithm  /  local search  /  aeronautical navigation station  /  frequency assignment  /  tabu search algorithm
Ya-jun XU, Bo-yang HAO, Tian-lu GAO, Qiang ZHANG, He-de LU, Bao-hong ZENG. Frequency Assignment of Air Navigation Station Based on Multi-objective Genetic Local Search Algorithm[J]. Science Technology and Engineering, 2025 , 25 (15) : 6530 -6537 . DOI: 10.12404/j.issn.1671-1815.2405282
Year 2025 volume 25 Issue 15
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doi: 10.12404/j.issn.1671-1815.2405282
  • Receive Date:2024-07-13
  • Online Date:2025-07-09
  • Published:2025-05-28
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  • Received:2024-07-13
  • Revised:2024-11-24
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    College of Air Traffic Management, Civil Aviation Flight University of China, Deyang 618307, China
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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