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  High performance integer optimization for crew scheduling

Sanders, P., Takkula, T., & Wedelin, D. (1999). High performance integer optimization for crew scheduling. In P. Sloot, M. Bubak, A. Hoekstra, & B. Hertzberger (Eds.), Proceedings of the 7th International Conference on High-Performance Computing and Networking Europe (HPCN Europe-99) (pp. 3-12). Berlin: Springer.

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 Creators:
Sanders, Peter1, Author           
Takkula, Tuomo, Author
Wedelin, Dag, Author
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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 Abstract: Performance aspects of a Lagrangian relaxation based heuristic for solving large 0-1 integer linear programs are discussed. In particular, we look at its application to airline and railway crew scheduling problems. We present a scalable parallelization of the original algorithm used in production at Carmen Systems AB, G\"oteborg, Sweden, based on distributing the variables and a new sequential \emph{active set strategy} which requires less work and is better adapted to the memory hierachy properties of modern RISC processors. The active set strategy can even be parallelized on networks of workstations.

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Language(s): eng - English
 Dates: 2010-03-021999
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 518042
Other: Local-ID: C1256428004B93B8-33C17ABD21E3832DC125688C004A4284-San99b
 Degree: -

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Title: Untitled Event
Place of Event: Amsterdam, NL
Start-/End Date: 1999

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Title: Proceedings of the 7th International Conference on High-Performance Computing and Networking Europe (HPCN Europe-99)
Source Genre: Proceedings
 Creator(s):
Sloot, Peter, Editor
Bubak, Marian, Editor
Hoekstra, Alfons, Editor
Hertzberger, Bob, Editor
Affiliations:
-
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3 - 12 Identifier: ISBN: 3-540-65821-1

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 1593 Sequence Number: - Start / End Page: - Identifier: -