The prize-collecting single machine scheduling with bounds and penalties

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Combinatorial Optimization Pub Date : 2024-08-16 DOI:10.1007/s10878-024-01203-0
Guojun Hu, Pengxiang Pan, Suding Liu, Ping Yang, Runtao Xie
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Abstract

This study investigates the prize-collecting single machine scheduling with bounds and penalties (PC-SMS-BP). In this problem, a set of n jobs and a single machine are considered, where each job \(J_j\) has a processing time \(p_{j}\), a profit \(\pi _{j}\) and a rejection penalty \(w_{j}\). The upper bound on the processing number is U. The objective of this study is to find a feasible schedule that minimizes the makespan of the accepted jobs and the total rejection penalty of the rejected jobs under the condition that the number of the accepted jobs does not exceed a given threshold U while the total profit of the accepted jobs does not fall below a specified profit bound \(\varPi \). We first demonstrate that this problem is NP-hard. Then, a pseudo-polynomial time dynamic programming algorithm and a fully polynomial time approximation scheme (FPTAS) are proposed. Finally, numerical experiments are conducted to compare the effectiveness of the two proposed algorithms.

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有约束和惩罚的单机有奖调度
本研究探讨了带约束和惩罚的单机有奖调度(PC-SMS-BP)。在这个问题中,考虑了一组 n 个作业和一台单机,其中每个作业 \(J_j\) 有一个处理时间 \(p_{j}\)、一个利润 \(\pi_{j}\)和一个拒绝惩罚 \(w_{j}\)。本研究的目标是找到一个可行的时间表,在接受的作业数量不超过给定阈值 U,同时接受作业的总利润不低于指定利润阈值 \(\varPi \)的条件下,使接受作业的工作时间和拒绝作业的总拒绝惩罚最小化。我们首先证明这个问题是 NP 难的。然后,我们提出了一种伪多项式时间动态编程算法和一种全多项式时间近似方案(FPTAS)。最后,我们通过数值实验比较了两种算法的有效性。
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来源期刊
Journal of Combinatorial Optimization
Journal of Combinatorial Optimization 数学-计算机:跨学科应用
CiteScore
2.00
自引率
10.00%
发文量
83
审稿时长
6 months
期刊介绍: The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering. The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.
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