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Abstract

We study the preemptive and non-preemptive versions of the job shop scheduling problem when the number of machines and the number of operations per job are fixed. We present linear time approximation schemes for both problems. These algorithms are the best possible for such problems in two regards: they achieve the best possible performance ratio since both problems are known to be strongly NP-hard; and they have optimum asymptotic time complexity.

Keywords

Optimum Schedule Feasible Schedule Total Processing Time Polynomial Time Approximation Scheme Open Shop 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Klaus Jansen
    • 1
  • Roberto Solis-Oba
    • 2
  • Maxim Sviridenko
    • 3
  1. 1.Instituto Dalle Molle di Studi sull’Intelligenza ArtificialeLuganoSwitzerland
  2. 2.Max Planck Institut für InformatikSaarbrückenGermany
  3. 3.Sobolev Institute of MathematicsNovosibirskRussia

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