NDLI: Hybrid column generation approaches for solving real world crew management problems (2000).

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Hybrid column generation approaches for solving real world crew management problems (2000).

Content Provider	CiteSeerX
Author	Yunes, T. H. Souza, Cid C. De Yunes, Tallys H. Moura, Arnaldo V. Souza, Cid C.
Abstract	This article considers the overall crew management problem that arises from the daily operation of an urban transit bus company that serves the metropolitan area of the city of Belo Horizonte, in Brazil. Due to its intrinsic complexity, the problem is divided in two distinct problems, namely: crew scheduling and crew rostering. We have tackled each one of these problems using Mathematical Programming (MP) and Constraint Logic Programming (CLP) approaches. Besides, we also developed hybrid column generation algorithms for solving these problems, combining MP and CLP. The hybrid algorithms always performed better, when obtaining optimal solutions, than the two previous isolated approaches. In particular, it proved much faster for the scheduling problem. All the proposed algorithms have been implemented and tested over real world data obtained from the aforementioned company. The coecient matrix of the linear program associated with some instances of the scheduling problem cont...
File Format	PDF
Publisher Date	2000-01-01
Access Restriction	Open
Subject Keyword	Real World Crew Management Problem Hybrid Column Generation Approach Linear Program Optimal Solution Coecient Matrix Crew Scheduling Metropolitan Area Urban Transit Bus Company Daily Operation Previous Isolated Approach Distinct Problem Hybrid Column Generation Algorithm Intrinsic Complexity Hybrid Algorithm Mathematical Programming Crew Rostering Scheduling Problem Constraint Logic Programming Real World Data Overall Crew Management Problem Scheduling Problem Cont
Content Type	Text
Resource Type	Article

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