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Randomized approximation schemes for minimizing the weighted makespan on identical parallel machines

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  • Ruiqing Sun

    (Yunnan University)

Abstract

In this paper, we discuss scheduling problems with m identical machines and n jobs where each job has to be assigned to some machine. The objective is to minimize the weighted makespan of jobs, i.e., the maximum weighted completion time of jobs. This scheduling problem is a generalization of minimizing the makespan on parallel machine scheduling problem. We present a ( $$2-\frac{1}{m}$$ 2 - 1 m )-approximation algorithm and a randomized efficient polynomial time approximation scheme (EPTAS) for the problem. We also design a randomized fully polynomial time approximation scheme (FPTAS) for the special case when the number of machines is fixed.

Suggested Citation

  • Ruiqing Sun, 2024. "Randomized approximation schemes for minimizing the weighted makespan on identical parallel machines," Journal of Combinatorial Optimization, Springer, vol. 47(3), pages 1-16, April.
  • Handle: RePEc:spr:jcomop:v:47:y:2024:i:3:d:10.1007_s10878-024-01118-w
    DOI: 10.1007/s10878-024-01118-w
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    References listed on IDEAS

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    3. Sainan Guo & Ran Ma & Yuzhong Zhang & Baoqiang Fan, 2021. "A Semi-Online Algorithm for Single Machine Scheduling with Rejection," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 38(05), pages 1-21, October.
    4. Martin Skutella & Gerhard J. Woeginger, 2000. "A PTAS for Minimizing the Total Weighted Completion Time on Identical Parallel Machines," Mathematics of Operations Research, INFORMS, vol. 25(1), pages 63-75, February.
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    7. Klaus Jansen & Kim-Manuel Klein & José Verschae, 2020. "Closing the Gap for Makespan Scheduling via Sparsification Techniques," Mathematics of Operations Research, INFORMS, vol. 45(4), pages 1371-1392, November.
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