Airport gates are scarce and expensive resources in air transportation. Assigning aircraft to gate must consider the profits of airport, airlines and passengers. Based on the passengers’ satisfaction and the efficiency and effectiveness of airport and airline, a multi-objective model was established, and then GATS algorithm combining genetic algorithms with tabu search was given to optimize it. The adaptive weight approach was adopted to evaluate the fitness of each individual, and the crowded-comparison operator was used to guide the selection process and the update of Pareto set. The numerical simulation and comparison of algorithms illustrated the validity of model and effectiveness of algorithm. Those can provide theory and methods supports for airport ground control.
Multi-Objective Model and Optimization for Airport Gate Assignment Problem
Lect. Notes Electrical Eng.
Proceedings of the 2012 International Conference on Information Technology and Software Engineering ; Chapter : 64 ; 597-606
2012-11-06
10 pages
Article/Chapter (Book)
Electronic Resource
English
Gate assignment , Multi-objective optimization , Genetic algorithm , Adaptive weight approach Computer Science , Information Storage and Retrieval , Information Systems Applications (incl. Internet) , Multimedia Information Systems , Management of Computing and Information Systems , Software Engineering , Engineering
Multi-objective optimization model for airport gate assignment problem
Emerald Group Publishing | 2021
|Multi-Objective Gate Assignment Problem for an Airport
IEEE | 2020
|Taylor & Francis Verlag | 2023
|Research on a robust multi-objective optimization model of gate assignment for hub airport
Taylor & Francis Verlag | 2018
|Research on a robust multi-objective optimization model of gate assignment for hub airport
Online Contents | 2016
|