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Simulation-Based Two-Stage Scheduling Optimization Method for Carrier-Based Aircraft Launch and Departure Operations.

Jue Liu1, Nengjian Wang1

  • 1College of Mechanical and Electrical Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin 150001, China.

Entropy (Basel, Switzerland)
|July 29, 2025
PubMed
Summary

This study introduces a new simulation-based optimization method for carrier-based aircraft departure scheduling. The LTA-HPSO + AAE-SAC framework significantly reduces scheduling time and improves efficiency, even with complex constraints.

Keywords:
algorithm improvementcarrier-based aircraftdeparture operationscheduling optimizationsimulation

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Area of Science:

  • Operations Research
  • Artificial Intelligence
  • Aerospace Engineering

Background:

  • Carrier-based aircraft departure scheduling faces complex temporal, spatial, and resource constraints.
  • Traditional methods often fail to provide exact solutions or fully capture the dynamic nature of this process.

Purpose of the Study:

  • To develop an advanced simulation-based optimization method for efficient and collision-free carrier-based aircraft departure scheduling.
  • To address coupled path planning and station sequencing challenges.

Main Methods:

  • A high-fidelity simulation model for aircraft departure scheduling was established.
  • A deep reinforcement learning (DRL)-based path planning algorithm (AAE-SAC) was developed.
  • An enhanced particle swarm optimization (PSO) algorithm (LTA-HPSO) was created, forming the integrated LTA-HPSO + AAE-SAC framework.

Main Results:

  • The LTA-HPSO + AAE-SAC framework demonstrated effective and robust performance across various sortie scales.
  • In a complex 24-aircraft scenario, the framework achieved an average solution time of 185.19 s.
  • Scheduling time was reduced by 26.18% and 49.54% compared to benchmark algorithms.

Conclusions:

  • The proposed LTA-HPSO + AAE-SAC framework significantly enhances the quality and robustness of carrier-based aircraft departure scheduling.
  • This simulation-based optimization method offers a superior approach to managing complex departure operations.