Criteria selection and multi-objective optimization of aircraft landing problem

Junfeng Zhang, Pengli Zhao, Yu Zhang, Ximei Dai and Dong Sui

Journal of Air Transport Management, 2020, vol. 82, issue C

Abstract: Inspired by the similarities of the aircraft landing problem (ALP) and the single machine scheduling problem, we propose a criteria selection method that has been used successfully in the single machine scheduling problem to determine appropriate objective functions of ALP. First, for four different types of criteria—min-max, min-sum, completion time related, and due-dates related criteria—their corresponding physical meanings in ALP are elaborated. Then, a criteria selection method is proposed to determine several appropriate criteria, which are taken as the multi-objective while modeling ALP. Different solution algorithms, including Imperialist Competitive Algorithm (ICA), are adopted to solve the multi-objective ALP. Finally, the performance of the proposed model and method are evaluated using a set of benchmark instances. The computational results demonstrate the efficiency of our approach for solving ALP, which can simultaneously improve punctual performance, enhance runway utilization, reduce air traffic controller workload, and maintain equity among airlines.

Keywords: Arrival sequencing and scheduling; Single machine scheduling; Imperialist competitive algorithm; Multiple objective; Simultaneous optimization (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jaitra:v:82:y:2020:i:c:s0969699718305507

DOI: 10.1016/j.jairtraman.2019.101734

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