Computational intelligence in integrated airline scheduling

Computational intelligence in integrated airline scheduling

Grosche, T.

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The objective of airline schedule optimization is to find the schedule that maximizes operating profit. This planning task is not only the most important but the most complex task. Until now, it is performed by dividing the overall planning problem into smaller and less complex subproblems that are solved separately in a sequence. However, this procedure is only of minor capability to deal with interdependencies between the subproblems, resulting in less profitable schedules than those being possible with an approach solving the schedule optimization problem in one step. In this work, two planning approaches for integrated airline scheduling are presented. One approach follows the traditionalsequential approach: existing models from literature for individual subproblems are implemented and enhanced in an overall iterative routine to construct airline schedules from scratch. Presents applications of Computational Intelligence in Integrated Airline Scheduling INDICE: Introduction.- Airline Scheduling Process.- Foundations of Metaheuristics.- Integrated Airline Scheduling.- Summary, Conclusions, and FutureWork.

  • ISBN: 978-3-540-89886-3
  • Editorial: Springer
  • Encuadernacion: Cartoné
  • Páginas: 265
  • Fecha Publicación: 01/01/2009
  • Nº Volúmenes: 1
  • Idioma: Inglés