Research on Airport Scheduling of FGAP Multi-Objective Programming Model Based on Uncertainty Theory

Based on the current background of airport management and flight-gate scheduling in China, this paper takes Shanghai Pudong International Airport’s flight number of the rising and landing aircraft in a certain day as the research object, and it establishes an uncertain FGAP (Flight-Gate Assignment P...

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Vydáno v:Symmetry (Basel) Ročník 13; číslo 10; s. 1915
Hlavní autoři: Hu, Xijian, Teng, Jiaqi, Wu, Wei, Li, Yan, Sheng, Yuhong
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.10.2021
Témata:
Aircraft
Aircraft landing
Airline scheduling
Airports
Assignment problem
Aviation
Genetic algorithms
Mathematical programming
Operations research
Optimization
Passengers
Scheduling
Uncertainty
China
ISSN:2073-8994, 2073-8994
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Shrnutí:Based on the current background of airport management and flight-gate scheduling in China, this paper takes Shanghai Pudong International Airport’s flight number of the rising and landing aircraft in a certain day as the research object, and it establishes an uncertain FGAP (Flight-Gate Assignment Problem) multi-objective programming model under the framework of uncertainty theory. Using genetic algorithm to solve the model, the specific flight-gate assignment scheduling plan is given. The research results show that the model in this paper can effectively alleviate the problems, such as unbalanced flight-gate allocation and excessive operating pressure of a single gate, in the conventional model, and make the allocation and scheduling more reasonable and efficient. Finally, we give the future application of uncertainty theory in finance and management, as well as the prospect of combining it with symmetry in physics.
Bibliografie:ObjectType-Article-1
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ISSN:2073-8994
2073-8994
DOI:10.3390/sym13101915