elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Flight Gate Assignment with a Quantum Annealer

Stollenwerk, Tobias and Lobe, Elisabeth and Jung, Martin (2019) Flight Gate Assignment with a Quantum Annealer. Lecture Notes in Computer Science, 11413, pp. 99-110. Springer. DOI: 10.1007/978-3-030-14082-3 ISBN 978-3-030-14082-3 ISSN 0302-9743

[img] PDF - Preprint version (submitted draft)
457kB

Official URL: https://link.springer.com/chapter/10.1007/978-3-030-14082-3_9

Abstract

Optimal flight gate assignment is a highly relevant optimization problem from airport management. Among others, an important goal is the minimization of the total transit time of the passengers. The corresponding objective function is quadratic in the binary decision variables encoding the flight-to-gate assignment. Hence, it is a quadratic assignment problem being hard to solve in general. In this work we investigate the solvability of this problem with a D-Wave quantum annealer. These machines are optimizers for quadratic unconstrained optimization problems (QUBO). Therefore the flight gate assignment problem seems to be well suited for these machines. We use real world data from a mid-sized German airport as well as simulation based data to extract typical instances small enough to be amenable to the D-Wave machine. In order to mitigate precision problems, we employ bin packing on the passenger numbers to reduce the precision requirements of the extracted instances. We find that, for the instances we investigated, the bin packing has little effect on the solution quality. Hence, we were able to solve small problem instances extracted from real data with the D-Wave 2000Q quantum annealer.

Item URL in elib:https://elib.dlr.de/123777/
Document Type:Article
Title:Flight Gate Assignment with a Quantum Annealer
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Stollenwerk, Tobiastobias.stollenwerk (at) dlr.dehttps://orcid.org/0000-0001-5445-8082
Lobe, ElisabethElisabeth.Lobe (at) dlr.dehttps://orcid.org/0000-0002-3473-8906
Jung, Martinm.jung (at) dlr.dehttps://orcid.org/0000-0002-1860-297X
Date:19 February 2019
Journal or Publication Title:Lecture Notes in Computer Science
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:11413
DOI :10.1007/978-3-030-14082-3
Page Range:pp. 99-110
Publisher:Springer
ISSN:0302-9743
ISBN:978-3-030-14082-3
Status:Published
Keywords:Quantum Compting, Air Traffic Management
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Quantencomputing
Location: Braunschweig , Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology > High Performance Computing
Institut of Simulation and Software Technology
Deposited By: Stollenwerk, Tobias
Deposited On:23 Jul 2019 10:39
Last Modified:06 Sep 2019 15:22

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.