Memorias de investigación
Ponencias en congresos:
ATC work shift scheduling using multistart simulated annealing and regular expressions
Año:2017
Áreas de investigación
  • Programación no lineal,
  • Objetivos múltiples,
  • Control del tráfico aéreo,
  • Gestión del tráfico aéreo
Datos
Descripción
In this paper, we propose a new approach for solving the air traffic controller (ATC) work shift scheduling problem, which minimizes the number of ATCs required to cover a given airspace sectoring, while satisfying a set of ATC labor conditions. This optimization problem belongs to the class of timetabling problems. The size and complexity of these combinatorial problems make them hard or even impossible to solve with exact methods. In the proposed approach, initial feasible solutions are first built using a heuristic based on optimized templates, 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 generated solutions. This provides high testing speed and modularity for a clear and maintainable implementation of the optimization model. Once the optimal ATC number is reached in one or more solutions, they are used as the initial solutions for a new optimization process aimed at balancing the ATC workloads. The proposed approach is illustrated using a real example, and the optimal solution reached outperforms the reference solution, i.e. a real solution derived from the currently used tools based on templates. Indeed, one less ATC is needed to cover the airspace sectoring, and the ATC workloads are more balanced.
Internacional
Si
Nombre congreso
EWG-DSS 2017 International Conference on Decision Support System Technology
Tipo de participación
960
Lugar del congreso
Namur, Bélgica
Revisores
Si
ISBN o ISSN
978-2-917490-28-0
DOI
Fecha inicio congreso
29/05/2017
Fecha fin congreso
31/05/2017
Desde la página
169
Hasta la página
175
Título de las actas
Proceedings of the EWG-DSS 2017 International Conference on Decision Support System Technology
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Grupo de Investigación: Computational Intelligence Group
  • Departamento: Inteligencia Artificial