A Multi-objective Evolutionary Approach to Aircraft Landing Scheduling Problems
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BibTeX
@MISC{Tang_amulti-objective,
author = {Ke Tang and Zai Wang and Xianbin Cao and Jun Zhang},
title = {A Multi-objective Evolutionary Approach to Aircraft Landing Scheduling Problems},
year = {}
}
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Abstract
Abstract—Scheduling aircraft landings has been a complex and challenging problem in air traffic control for long time. In this paper, we propose to solve the aircraft landing scheduling problem (ALSP) using multi-objective evolutionary algorithms (MOEAs). Specifically, we consider simultaneously minimizing the total scheduled time of arrival and the total cost, and formulate the ALSP as a 2-objective optimization problem. A MOEA named Multi-Objective Neighborhood Search Differential Evolution (MONSDE) is applied to solve the 2-objective ALSP. Besides, a ranking scheme named non-dominated average ranking is also proposed to determine the optimal landing sequence. Advantages of our approaches are demonstrated on two example scenarios. I.
Keyphrases
multi-objective evolutionary approach aircraft landing scheduling problem long time multi-objective evolutionary algorithm abstract scheduling aircraft landing non-dominated average ranking 2-objective alsp ranking scheme multi-objective neighborhood search differential evolution air traffic control optimal landing sequence example scenario 2-objective optimization problem total cost
