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Research on Airport Scheduling of FGAP Multi-Objective Programming Model Based on Uncertainty Theory
- Source :
- Symmetry, Vol 13, Iss 1915, p 1915 (2021), Symmetry, Volume 13, Issue 10
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
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 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.
- Subjects :
- goal programming
Physics and Astronomy (miscellaneous)
Operations research
General Mathematics
Scheduling (production processes)
Uncertainty theory
ComputerApplications_COMPUTERSINOTHERSYSTEMS
Plan (drawing)
International airport
Chemistry (miscellaneous)
Goal programming
Genetic algorithm
Computer Science (miscellaneous)
Programming paradigm
genetic algorithm
airport scheduling
QA1-939
FGAP model
Assignment problem
Mathematics
uncertainty theory
Subjects
Details
- Language :
- English
- ISSN :
- 20738994
- Volume :
- 13
- Issue :
- 1915
- Database :
- OpenAIRE
- Journal :
- Symmetry
- Accession number :
- edsair.doi.dedup.....978a10ade7ba9da5f9491a48337f3f01