Skip to main content

The Constrained Parallel-Machine Scheduling Problem with Divisible Processing Times and Penalties

  • Conference paper
  • First Online:
Algorithmic Aspects in Information and Management (AAIM 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13513))

Included in the following conference series:

  • 479 Accesses

Abstract

We consider the constrained parallel-machine scheduling problem with divisible processing times and penalties (the CPS-DTP problem, for short). Specifically, given a set \(M=\{a_{1},a_{2},\ldots ,a_{m}\}\) of m identical machines, and a set \(J=\{b_{1},b_{2},\ldots ,b_{n}\}\) of n jobs, each job \(b_{j}\in J\) has a processing time \(p_{j} \in Z^{+}\) and a penalty \(e_{j} \in Z^{+}\), and the job processing times are divisible, i.e., either \(p_{i}|p_{j}\) or \(p_{j}|p_{i}\) for any two different jobs \(b_{i}\) and \(b_{j}\) in J. Each job \(b_{j}\) is either executed in processing time \(p_{j}\) with which we schedule this job on one of m machines, or rejected with its penalty \(e_{j}\) that we must pay for, it is asked to determine a subset \(A\subseteq J\) such that each job \(b_{j}\in A\) has to be scheduled only on one of m machines and each job \(b_{j}\in J\backslash A\) has to be rejected. We consider three versions of the CPS-DTP problem, respectively. (1) The constrained parallel-machine scheduling problem with divisible processing times and total penalties (the CPS-DTTP problem, for short) is asked to determine a subset \(A\subseteq J\) to satisfy the constraint mentioned-above, the objective is to minimize the makespan of the schedule T for accepted jobs in A plus the value of total penalties of the rejected jobs in \(J\backslash A\); (2) The constrained parallel-machine scheduling problem with divisible processing times and maximum penalty (the CPS-DTMP problem, for short) is asked to determine a subset \(A\subseteq J\) to satisfy the constraint mentioned-above, the objective is to minimize the makespan of the schedule T for accepted jobs in A plus the maximum penalty paid for rejected jobs in \(J\backslash A\); (3) The constrained parallel-machine scheduling problem with divisible processing times and bounded penalty (the CPS-DTBP problem, for short) is asked to determine a subset \(A\subseteq J\) to satisfy the constraint mentioned-above and the value of total penalties of the rejected jobs in \(J\backslash A\) is no more than a given bound, the objective is to minimize the makespan of the schedule T for accepted jobs in A.

In this paper, we design an exact algorithm in pseudo-polynomial time to solve the CPS-DTTP problem, an exact algorithm in strongly polynomial time to solve the CPS-DTMP problem and an exact algorithm in polynomial time to solve the CPS-DTBP problem, respectively.

This paper is fully supported by the National Natural Science Foundation of China [Nos.11861075,12101593] and Project for Innovation Team (Cultivation) of Yunnan Province [No.202005AE160006]. Junran Lichen is also supported by Fundamental Research Funds for the Central Universities (buctrc202219), and Jianping Li is also supported by Project of Yunling Scholars Training of Yunnan Province.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bartal, Y., Leonardi, S., Marchetti-Spaccamela, A., Sgall, J., Stougie, L.: Multiprocessor scheduling with rejection. SIAM J. Dis. Math. 13, 64–78 (2000)

    Article  MathSciNet  Google Scholar 

  2. Coffman, E.G., Jr., Garey, M.R., Johnson, D.S.: An application of bin-packing to multiprocessor scheduling. SIAM J. Comput. 7(1), 1–17 (1978)

    Article  MathSciNet  Google Scholar 

  3. Detti, P.: A polynomial algorithm for the multiple knapsack problem with divisible item sizes. Inf. Process. Lett. 109(11), 582–584 (2009)

    Article  MathSciNet  Google Scholar 

  4. Dósa, G., He, Y.: Bin packing problems with rejection penalties and their dual problems. Inf. Comput. 204(5), 795–815 (2006)

    Article  MathSciNet  Google Scholar 

  5. Faigle, U., Kern, W., Turn, G.: On the performance of on-line algorithms for partition problems. Acta Cybern. 9, 107–119 (1989)

    MathSciNet  MATH  Google Scholar 

  6. Graham, R.L.: Bounds for centain multiprocessing anomalies. Bell Syst. Tech. J. 45, 1563–1581 (1966)

    Article  Google Scholar 

  7. Graham, R.L.: Bounds on multiprocessing timing anomalies. SIAM J. Appl. Math. 17, 416–429 (1969)

    Article  MathSciNet  Google Scholar 

  8. Knuth, D.E.: Foundamental Algorithms, vol. 1, 2nd ed. Addison-Wesley, Reading (1973)

    Google Scholar 

  9. Lawler, E.L., Lenstra, J.K., Rinnooy Kan, A.H.G., Shmoys, D.B.: Sequencing and scheduling: algorithms and complexity. Handb. Oper. Res. Manag. Sci. 4, 445–522 (1993)

    Google Scholar 

  10. Lenstra, J.K., Kan, A.R., Brucker, P.: Complexity of machine scheduling problems. Ann. Discrete Mach. 1, 343–362 (1977)

    Article  MathSciNet  Google Scholar 

  11. Li, W., Li, J., Zhang, X.,Chen, Z.: Penalty cost constrained identical parallel machine scheduling problem. Theor. Comput. Sci. 607, 181–192 (2015)

    Google Scholar 

  12. Shabtay, D., Gaspar, N., Kaspi, M.: A survey on offline scheduling with rejection. J. Sched. 16(1), 3–28 (2013)

    Article  MathSciNet  Google Scholar 

  13. Yue, X.: Parallel machine scheduling problem with rejection cost under special conditions. Kunming University of Science and Technology, China (2020)

    Google Scholar 

  14. Yue, X., Gao, J., Chen, Z.: A polynomial time algorithm for scheduling on processing time constraints. In: ACM International Conference Proceeding Series, 2019 the 9th International Conference on Communication and Network Security, pp. 109–113 (2019)

    Google Scholar 

  15. Zhang, Y., Ren, J., Wang, C.: Scheduling with rejection to minimize the makespan. In: Du, D.-Z., Hu, X., Pardalos, P.M. (eds.) COCOA 2009. LNCS, vol. 5573, pp. 411–420. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02026-1_39

    Chapter  Google Scholar 

  16. Zheng, S., Yue, X., Chen, Z.: Parallel machine scheduling with rejection under special conditions. In: ACM International Conference Proceeding Series, 2018 the 8th International Conference on Communication and Network Security, pp. 139–143 (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jianping Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Li, J., Xie, R., Lichen, J., Hu, G., Pan, P., Yang, P. (2022). The Constrained Parallel-Machine Scheduling Problem with Divisible Processing Times and Penalties. In: Ni, Q., Wu, W. (eds) Algorithmic Aspects in Information and Management. AAIM 2022. Lecture Notes in Computer Science, vol 13513. Springer, Cham. https://doi.org/10.1007/978-3-031-16081-3_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-16081-3_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16080-6

  • Online ISBN: 978-3-031-16081-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics