DocumentCode
2736609
Title
Fuzzy model and optimization for airport gate assignment problem
Author
Dong-xuan Wei ; Chang-you Liu
Author_Institution
Civil Aviation Coll., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Volume
2
fYear
2009
fDate
20-22 Nov. 2009
Firstpage
828
Lastpage
832
Abstract
Gate assignment is an important decision making problem which involves multiple and conflict objectives in airport. In this paper, fuzzy model is proposed to handle two main objectives, minimizing the total walking distance for passengers and maximizing the robustness of assignment. The idle times of flight-to-gate are regarded as fuzzy variables, and whose membership degrees are used to express influence on robustness of assignment. Adjustment function on membership degree is introduced to transfer two objectives into one. Modified genetic algorithm is adopted to optimize the NP-hard problem. Finally, illustrative example is given to evaluate the performance of fuzzy model. Three distribution functions are tested, and comparison with the method of fixed buffer time is given. Simulation results demonstrate the feasibility and effectiveness of proposed fuzzy method.
Keywords
fuzzy set theory; genetic algorithms; transportation; NP-hard problem; airport gate assignment problem; decision making problem; flight-to-gate; fuzzy model; modified genetic algorithm; Air transportation; Aircraft; Airports; Delay estimation; Distribution functions; Educational institutions; Genetic algorithms; Heuristic algorithms; Legged locomotion; Robustness; airport gate assignment; fuzzy optimization; genetic algorithms; multi-objective;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4754-1
Electronic_ISBN
978-1-4244-4738-1
Type
conf
DOI
10.1109/ICICISYS.2009.5358268
Filename
5358268
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