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Scheduling problems with controllable processing times and a common deadline to minimize maximum compression cost

Author

Listed:
  • Akiyoshi Shioura

    (Tokyo Institute of Technology)

  • Natalia V. Shakhlevich

    (University of Leeds)

  • Vitaly A. Strusevich

    (University of Greenwich)

Abstract

We consider a range of scheduling problems with controllable processing times, in which the jobs must be completed by a common deadline by compressing appropriately their processing times. The objective is to minimize the maximum compression cost. We present a number of algorithms based on common general principles adapted with a purpose of reducing the resulting running times.

Suggested Citation

  • Akiyoshi Shioura & Natalia V. Shakhlevich & Vitaly A. Strusevich, 2020. "Scheduling problems with controllable processing times and a common deadline to minimize maximum compression cost," Journal of Global Optimization, Springer, vol. 76(3), pages 471-490, March.
    • Handle: RePEc:spr:jglopt:v:76:y:2020:i:3:d:10.1007_s10898-018-0686-2
    DOI: 10.1007/s10898-018-0686-2
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    References listed on IDEAS

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    7. Shioura, Akiyoshi & Shakhlevich, Natalia V. & Strusevich, Vitaly A., 2018. "Preemptive models of scheduling with controllable processing times and of scheduling with imprecise computation: A review of solution approaches," European Journal of Operational Research, Elsevier, vol. 266(3), pages 795-818.
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    Cited by:

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