A robust strategy to address the airport gate assignment problem considering operators’ preferences

•Flight activities (arrival, parking, and departure) are assigned to different gates.•A multi-objective integer programming model is proposed.•A robust strategy is developed by considering the airport operators’ preferences.•The Monte Carlo based NSGA-II (TPMC-NSGA II) algorithm is designed. The air...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Computers & industrial engineering Ročník 168; s. 108100
Hlavní autoři: She, Yaqian, Zhao, Qiuhong, Guo, Renyong, Yu, Xianrui
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.06.2022
Témata:
Airport gate assignment problem (AGAP)
Operators’ preferences
Robustness
TPMC-NSGA II algorithm
TPMC-NSGA II algorithm
Robustness
Operators’ preferences
Airport gate assignment problem (AGAP)
ISSN:0360-8352, 1879-0550
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:•Flight activities (arrival, parking, and departure) are assigned to different gates.•A multi-objective integer programming model is proposed.•A robust strategy is developed by considering the airport operators’ preferences.•The Monte Carlo based NSGA-II (TPMC-NSGA II) algorithm is designed. The airport gate assignment problem (AGAP) has been well studied in the field of airport transportation planning and operations management. For airport operators, it is important to assign flight activities to limited gates economically, and the robustness of the assignment is also a key issue. In this paper, we address the problem of assigning a number of flight activities, including arrival, parking, and departure, to different gates during the operating period. A robust strategy is developed by considering the airport operators’ tow-averse attributes. To solve the problem, firstly, a multi-objective integer programming model is proposed. There are two objectives in the model, one is to maximize the operators’ preferences characterized by scores, and the other is to minimize robustness cost caused by the changes of flight schedule. Secondly, a two-phase Monte Carlo based NSGA-II (TPMC-NSGA II) algorithm is designed, which effectively combines the Monte Carlo characters and the NSGA-II algorithm. Furthermore, a set of computational analyses are conducted. The results show that the proposed model and algorithm are capable of solving the airport gate assignment problem with an economical, robust, and preferred output.
ISSN:0360-8352
1879-0550
DOI:10.1016/j.cie.2022.108100