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Simultaneous airline scheduling

Fink, Andreas (Hrsg). Advances in computational intelligence in transport, logistics, and supply chain management. Berlin, Heidelberg: Springer 2008 S. 81 - 108 (Studies in computational intelligence ; Vol. 144)

Erscheinungsjahr: 2008

ISBN/ISSN: 978-3-540-69390-1

Publikationstyp: Buchbeitrag

Sprache: Englisch

Doi/URN: urn:nbn:de:1111-20081017296

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Inhaltszusammenfassung


Currently, there are no solution approaches available to construct and optimize airline schedules within a single model. All existing approaches decompose the problem into smaller and less complex subproblems and solve those subproblems separately. This chapter presents a metaheuristic for simultaneous airline scheduling where several different subproblems are integrated into one single optimization model, except for crew scheduling. The problem-specific metaheuristic uses an adaptive procedu...Currently, there are no solution approaches available to construct and optimize airline schedules within a single model. All existing approaches decompose the problem into smaller and less complex subproblems and solve those subproblems separately. This chapter presents a metaheuristic for simultaneous airline scheduling where several different subproblems are integrated into one single optimization model, except for crew scheduling. The problem-specific metaheuristic uses an adaptive procedure for operator selection to allow an efficient choice between a variety of different operators. Experiments are conducted as proof-of-concept and to calibrate free parameters. Comparing different search strategies and studying operator probabilities show that efficiently solving the airline scheduling problem requires the application of both, local and recombination-based search operators.» weiterlesen» einklappen

  • Airline scheduling Fleet assignment Genetic algorithms Threshold accepting

Klassifikation


DFG Fachgebiet:
Wirtschaftswissenschaften

DDC Sachgruppe:
Wirtschaft

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