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| The increasing popularity of air transportation as national income rises and the e-commerce and logistics industry grows means that more and more flights need to stop in airports. In addition, due to the advent of COVID-19, more and more cargo flights are transporting anti-epidemic materials, which further increases the difficulty of flight scheduling and parking space allocation. In this paper, we investigate the flight gate pre-assignment problem to reduce the pressure on airports. Firstly, this paper establishes a gate pre-assignment model with multiple objectives based on real flight ground operation processes and gate pre-assignments scenarios. Secondly, this paper proposes a dynamic programming-indefinite length tabu search algorithm to solve the model. Finally, this paper verifies the effectiveness and superiority of the algorithm through experiments. |
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| Keywords:Transportation Planning and Management; Flight gate assignment; Tabu search; Indefinite tabu length; Dynamic programming |
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