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Multi-objective Optimization of Aircraft Taxiing Paths Based on Improved NSGA-II Algorithm
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Qing-wei ZHONG1, Hao-ming TANG1, Ying-xue YU1, *, Yong-xiang ZHANG2, Jun-jie YAO1, Ming-si-yu PAN1
Science Technology and Engineering | 2025, 25(20) : 8737 - 8744
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Science Technology and Engineering | 2025, 25(20): 8737-8744
• Papers·Aeronautics and Astronautics •
Multi-objective Optimization of Aircraft Taxiing Paths Based on Improved NSGA-II Algorithm
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Qing-wei ZHONG1, Hao-ming TANG1, Ying-xue YU1, *, Yong-xiang ZHANG2, Jun-jie YAO1, Ming-si-yu PAN1
Affiliations
  • 1 Department of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China
  • 2 Department of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
Published: 2025-07-18 doi: 10.12404/j.issn.1671-1815.2405546
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With the rapid development of the global aviation industry, airport ground operations management is increasingly challenging. Ensuring safety, improving efficiency, and reducing environmental impacts constitute critical tasks. To address this, a mixed-integer linear programming model incorporating taxiway conflict prevention was developed. This model aimed to minimize taxi time and CO2 emissions through dynamic optimization with the non-dominated sorting genetic algorithm II (NSGA-II). Implementation was conducted in Python for a major Chinese hub airport, with results compared against the commercial optimizer Gurobi. Computational findings reveal a 17.46% reduction in total taxi time and an 18.35% decrease in CO2 emissions across 14 aircraft. The NSGA-II solution is found to be within 1.083% of Gurobi’s optimal solution, while a 95.0% faster computation time is achieved. The capability of NSGA-II in handling large-scale multi-objective taxi path optimization problems is demonstrated. Operational efficiency is enhanced, and CO2 emissions are significantly reduced by the proposed approach.

taxi path optimization  /  multi-objective optimization  /  non-dominated sorting genetic algorithm II(NSGA-II)  /  math solvers  /  dynamic optimization  /  CO2 emissions
Qing-wei ZHONG, Hao-ming TANG, Ying-xue YU, Yong-xiang ZHANG, Jun-jie YAO, Ming-si-yu PAN. Multi-objective Optimization of Aircraft Taxiing Paths Based on Improved NSGA-II Algorithm[J]. Science Technology and Engineering, 2025 , 25 (20) : 8737 -8744 . DOI: 10.12404/j.issn.1671-1815.2405546
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Year 2025 volume 25 Issue 20
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Article Info
doi: 10.12404/j.issn.1671-1815.2405546
  • Receive Date：2024-07-23
  • Online Date：2026-05-13
  • Published：2025-07-18
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  • Received：2024-07-23
  • Revised：2025-04-12
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Affiliations
    1 Department of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China
    2 Department of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
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