Abstract
In this paper, we consider three single machine scheduling problems with rejection and generalized parameters. Inspired by generalized due dates, we introduce three generalized parameters into our problems as follows: (1) generalized release dates, (2) generalized processing times, and (3) generalized rejection costs. In scheduling with generalized parameters, each parameter (for examples, release date, processing time or rejection cost) is assigned not to a specific job but to a job position. Furthermore, in scheduling with rejection, each job is either rejected and paid a corresponding rejection cost, or accepted and processed on the machine. The objective is to minimize the sum of the makespan of the accepted jobs and the total rejection cost of the rejected jobs. We show that the first scheduling problem with generalized release dates is binary NP-hard. Furthermore, we provide a pseudo-polynomial time algorithm, a 2-approximation algorithm and a full polynomial-time approximation scheme (FPTAS) for this problem. For the latter two problems with generalized processing times or generalized rejection costs, we provide a polynomial-time optimal algorithm, respectively.
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Acknowledgments
The authors thank the anonymous reviewers for their constructive comments. This research was supported by NSFCs (11901168, 11971443 and 11771406).
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Yu, X., Lu, L., Zhang, L. (2021). Single Machine Scheduling with Rejection and Generalized Parameters. In: Du, DZ., Du, D., Wu, C., Xu, D. (eds) Combinatorial Optimization and Applications. COCOA 2021. Lecture Notes in Computer Science(), vol 13135. Springer, Cham. https://doi.org/10.1007/978-3-030-92681-6_20
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DOI: https://doi.org/10.1007/978-3-030-92681-6_20
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