Column generation with dynamic duty selection for railway crew rescheduling
The Dutch railway network experiences about three large disruptions per day on average. In this paper, we present an algorithm to reschedule the crews when such a disruption occurs. The algorithm is based on column generation techniques combined with Lagrangian heuristics. Since the number of duties is very large in practical instances, we first define a core problem of tractable size. If some tasks remain uncovered in the solution of the core problem, we perform a neighborhood exploration to improve the solution. Computational experiments with real-life instances show that our method is capable of producing good solutions within a couple of minutes of Computation time.
Year of publication: |
2008-12-19
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Authors: | Huisman, Dennis ; Potthoff, Potthoff, D. ; Desaulniers, Desaulniers, G. |
Institutions: | Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam |
Saved in:
freely available
Extent: | application/pdf |
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Series: | Econometric Institute Research Papers. - ISSN 1566-7294. |
Type of publication: | Book / Working Paper |
Notes: | The text is part of a series RePEc:ems:eureir Number EI 2008-28 |
Source: |
Persistent link: https://www.econbiz.de/10010837946
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