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Tello Caballo, Faustino ORCID: https://orcid.org/0000-0002-0369-5798, Jiménez Martín, Antonio
ORCID: https://orcid.org/0000-0002-4947-8430, Mateos Caballero, Alfonso
ORCID: https://orcid.org/0000-0003-4764-6047 and Lozano Santiuste, Pablo
(2019).
A comparative analysis of simulated annealing and Variable Neighborhood Search in the ATCo work-shift scheduling problem.
"Mathematics", v. 7
(n. 7);
pp. 636-654.
ISSN 2227-7390.
https://doi.org/10.3390/math7070636.
Title: | A comparative analysis of simulated annealing and Variable Neighborhood Search in the ATCo work-shift scheduling problem |
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Author/s: |
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Item Type: | Article |
Título de Revista/Publicación: | Mathematics |
Date: | July 2019 |
ISSN: | 2227-7390 |
Volume: | 7 |
Subjects: | |
Freetext Keywords: | Air traffic management; Work-shift scheduling problem; Variable Neighborhood Search; Performance analysis |
Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
Department: | Inteligencia Artificial |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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This paper deals with the air traffic controller (ATCo) work shift scheduling problem. This is a multi-objective optimization problem, as it involves identifying the best possible distribution of ATCo work and rest periods and positions, ATCo workload and control center changes in order to cover an airspace sector configuration, while, at the same time, complying with ATCo working conditions. We propose a three-phase problem-solving methodology based on the variable neighborhood search (VNS) to tackle this problem. The solution structure should resemble the previous template-based solution. Initial infeasible solutions are built using a template-based heuristic in Phase 1. Then, VNS is conducted in Phase 2 in order to arrive at a feasible solution. This constitutes the starting point of a new search process carried out in Phase 3 to derive an optimal solution based on a weighted sum fitness function. We analyzed the performance in the proposed methodology of VNS against simulated annealing, as well as the use of regular expressions compared with the implementation in the code to verify the feasibility of the analyzed solutions, taking into account four representative and complex instances of the problem corresponding to different airspace sectorings.
Item ID: | 63553 |
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DC Identifier: | https://oa.upm.es/63553/ |
OAI Identifier: | oai:oa.upm.es:63553 |
DOI: | 10.3390/math7070636 |
Official URL: | https://www.mdpi.com/2227-7390/7/7/636 |
Deposited by: | Memoria Investigacion |
Deposited on: | 28 Oct 2020 08:19 |
Last Modified: | 28 Oct 2020 08:19 |