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Keywords = FGAP model

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13 pages, 3151 KB  
Article
Research on Airport Scheduling of FGAP Multi-Objective Programming Model Based on Uncertainty Theory
by Xijian Hu, Jiaqi Teng, Wei Wu, Yan Li and Yuhong Sheng
Symmetry 2021, 13(10), 1915; https://doi.org/10.3390/sym13101915 - 12 Oct 2021
Cited by 10 | Viewed by 2409
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Fuzzy Set Theory and Uncertainty Theory)
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