Parallel Integer Optimization for Crew Scheduling

Panayiotis Alefragis, Peter Sanders, Tuomo Takkula and Dag Wedelin

Annals of Operations Research, 2000, vol. 99, issue 1, 166 pages

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, Göteborg, Sweden, based on distributing the variables. A lazy variant of this approach which decouples communication and computation is even useful on networks of workstations. Furthermore, we develop a new sequential active set strategy which requires less work and is better adapted to the memory hierarchy properties of modern RISC processors. This algorithm is also suited for parallelization on a moderate number of networked workstations. Copyright Kluwer Academic Publishers 2000

Keywords: airline crew scheduling; combinatorial optimization; Lagrangian relaxation; memory hierarchy; parallel 0/1 integer linear programming (search for similar items in EconPapers)
Date: 2000
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DOI: 10.1023/A:1019293017474

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