Fuzzy model and optimization for airport gate assignment problem

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 o...

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Bibliographic Details
Published in2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Vol. 2; pp. 828 - 832
Main Authors Wei, Dong-xuan, Liu, Chang-you
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Air transportation
Aircraft
airport gate assignment
Airports
Delay estimation
Distribution functions
Educational institutions
fuzzy optimization
Genetic algorithms
Heuristic algorithms
Legged locomotion
multi-objective
Robustness
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Summary: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.
ISBN:9781424447541
1424447542
DOI:10.1109/ICICISYS.2009.5358268