Communications at congresses:
The ATC work shift scheduling based on multistart simulated annealing and regular expressions
Year:2018
Research Areas
- Artificial intelligence,
- Operative research
Information
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Abstract
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| 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. | |
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International
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Si |
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Congress
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5th International Conference on Control, Decision and Information Technologies |
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730 |
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Place
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Tesalónica, Grecia |
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Reviewers
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Si |
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ISBN/ISSN
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2576-3555 |
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Start Date
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10/04/2018 |
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End Date
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13/04/2018 |
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From page
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1 |
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To page
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6 |
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Proceedings of the 5th International Conference on Control, Decision and Information Technologies |
Open Access publication
Participants
- Autor: Alfonso Mateos Caballero UPM
- Autor: Faustino Tello Caballo UPM
- Autor: Antonio Jimenez Martin UPM
- Autor: Juan Antonio Fdez del Pozo De Salamanca UPM
Research Group, Departaments and Institutes related
- Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
- Grupo de Investigación: Computational Intelligence Group
- Departamento: Inteligencia Artificial