Best practice simulated annealing for the airline crew scheduling problem

Best practice simulated annealing for the airline crew scheduling problem

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Article ID: iaor20002882
Country: Netherlands
Volume: 5
Issue: 4
Start Page Number: 419
End Page Number: 436
Publication Date: Dec 1999
Journal: Journal of Heuristics
Authors: ,
Keywords: personnel & manpower planning, optimization: simulated annealing
Abstract:

We report about a study of a simulated annealing algorithm for the airline crew pairing problem based on a run-cutting formulation. Computational results are reported for some real-world short- to medium-haul test problems with up to 4600 flights per month. Furthermore we find that run time can be saved and solution quality can be improved by using a problem specific initial solution, by relaxing constraints ‘as far as possible’, by combining simulated annealing with a problem specific local improvement heuristic and by multiple independent runs.

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