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The ATC work shift scheduling based on multistart simulated annealing and regular expressions
Citation
Mateos Caballero, Alfonso 
ORCID: https://orcid.org/0000-0003-4764-6047, Tello Caballo, Faustino ORCID: https://orcid.org/0000-0002-0369-5798, Jiménez Martín, Antonio ORCID: https://orcid.org/0000-0002-4947-8430 and Fernández del Pozo de Salamanca, Juan Antonio
(2018).
The ATC work shift scheduling based on multistart simulated annealing and regular expressions.
In: "5th-2018 International Conference on Control, Decision and Information Technologies", 10-13 Apr 2018, Tesalónica, Grecia. pp. 1-6.
https://doi.org/10.1109/CoDIT.2018.8394783.
Description
| Title: | The ATC work shift scheduling based on multistart simulated annealing and regular expressions |
|---|---|
| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | 5th-2018 International Conference on Control, Decision and Information Technologies |
| Event Dates: | 10-13 Apr 2018 |
| Event Location: | Tesalónica, Grecia |
| Title of Book: | CoDIT 2018: 5th-2018 International Conference on Control, Decision and Information Technologies |
| Date: | 2018 |
| Subjects: | |
| Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
| Department: | Inteligencia Artificial |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
In this paper we propose a new approach to solving the air traffic controller (ATC) work shift scheduling problem. This approach that minimizes the number of ATCs required to cover a given airspace sectoring, while satisfying a set of ATC labor conditions. First, initial feasible solutions are built using a heuristic, and then multistart simulated annealing is used to reach optimal solutions. In the search process, we use regular expressions to check the feasibility of the visited solutions. This provides high testing speed. Once the optimal ATC number is reached, it is used as the initial solution for a new optimization process aimed at balancing the ATC workloads.
Funding Projects
Type
Code
Acronym
Leader
Title
Government of Spain
MTM2017-83132-C2-2-R
Unspecified
Unspecified
Unspecified
Government of Spain
MTM2014-56949-C3-2-R
Unspecified
Universidad Politécnica de Madrid
Apoyo a decisiones en análisis de riesgos. Seguridad operacional aérea
More information
| Item ID: | 54732 |
|---|---|
| DC Identifier: | https://oa.upm.es/54732/ |
| OAI Identifier: | oai:oa.upm.es:54732 |
| DOI: | 10.1109/CoDIT.2018.8394783 |
| Official URL: | https://ieeexplore.ieee.org/document/8394783 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 16 May 2019 08:55 |
| Last Modified: | 16 May 2019 08:55 |
