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Scheduling meets n-fold integer programming

Author

Listed:
  • Dušan Knop

    (Charles University)

  • Martin Koutecký

    (Charles University)

Abstract

Scheduling problems are fundamental in combinatorial optimization. Much work has been done on approximation algorithms for NP-hard cases, but relatively little is known about exact solutions when some part of the input is a fixed parameter. In this paper, we continue this study and show that several additional cases of fundamental scheduling problems are fixed-parameter tractable for some natural parameters. Our main tool is n-fold integer programming, a recent variable dimension technique which we believe to be highly relevant for the parameterized complexity community. This paper serves to showcase and highlight this technique. Specifically, we show the following four scheduling problems to be fixed-parameter tractable, where $$p_{\max }$$ p max is the maximum processing time of a job and $$w_{\max }$$ w max is the maximum weight of a job: Makespan minimization on uniformly related machines ( $$Q||C_{\max }$$ Q | | C max ) parameterized by $$p_{\max }$$ p max , Makespan minimization on unrelated machines ( $$R||C_{\max }$$ R | | C max ) parameterized by $$p_{\max }$$ p max and the number of kinds of machines (defined later), Sum of weighted completion times minimization on unrelated machines ( $$R||\sum w_jC_j$$ R | | ∑ w j C j ) parameterized by $$p_{\max }+w_{\max }$$ p max + w max and the number of kinds of machines, The same problem, $$R||\sum w_jC_j$$ R | | ∑ w j C j , parameterized by the number of distinct job times and the number of machines.

Suggested Citation

  • Dušan Knop & Martin Koutecký, 2018. "Scheduling meets n-fold integer programming," Journal of Scheduling, Springer, vol. 21(5), pages 493-503, October.
  • Handle: RePEc:spr:jsched:v:21:y:2018:i:5:d:10.1007_s10951-017-0550-0
    DOI: 10.1007/s10951-017-0550-0
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    References listed on IDEAS

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    1. Allahverdi, Ali, 2015. "The third comprehensive survey on scheduling problems with setup times/costs," European Journal of Operational Research, Elsevier, vol. 246(2), pages 345-378.
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    3. C N Potts & V A Strusevich, 2009. "Fifty years of scheduling: a survey of milestones," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 41-68, May.
    4. H. W. Lenstra, 1983. "Integer Programming with a Fixed Number of Variables," Mathematics of Operations Research, INFORMS, vol. 8(4), pages 538-548, November.
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    Cited by:

    1. Matthias Bentert & Robert Bredereck & Péter Györgyi & Andrzej Kaczmarczyk & Rolf Niedermeier, 2023. "A multivariate complexity analysis of the material consumption scheduling problem," Journal of Scheduling, Springer, vol. 26(4), pages 369-382, August.
    2. Danny Hermelin & Shlomo Karhi & Michael Pinedo & Dvir Shabtay, 2021. "New algorithms for minimizing the weighted number of tardy jobs on a single machine," Annals of Operations Research, Springer, vol. 298(1), pages 271-287, March.
    3. Vincent T’kindt & Federico Della Croce & Mathieu Liedloff, 2022. "Moderate exponential-time algorithms for scheduling problems," 4OR, Springer, vol. 20(4), pages 533-566, December.
    4. Danny Hermelin & Dvir Shabtay & Chen Zelig & Michael Pinedo, 2022. "A general scheme for solving a large set of scheduling problems with rejection in FPT time," Journal of Scheduling, Springer, vol. 25(2), pages 229-255, April.
    5. Hermelin, Danny & Pinedo, Michael & Shabtay, Dvir & Talmon, Nimrod, 2019. "On the parameterized tractability of single machine scheduling with rejection," European Journal of Operational Research, Elsevier, vol. 273(1), pages 67-73.

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