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.
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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
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