Minimizing the Total Weighted Duration of Courses in a Single Machine Problem with Precedence Constraints

IF 0.6 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Automation and Remote Control Pub Date : 2023-12-21 DOI:10.1134/S0005117923090102
E. G. Musatova, A. A. Lazarev
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Abstract

A single machine scheduling problem with a given partial order of jobs is considered. There are subsets of jobs called courses. It is necessary to schedule jobs in such a way that the total weighted duration of all courses is minimal. We consider the case when the initial job and the final one of each course are uniquely determined. The NP-hardness of the problem under consideration is proved. We propose an algorithm for solving the problem, the complexity of which depends polynomially on the total number of jobs, but exponentially on the number of courses, which makes it possible to use it efficiently with a fixed small number of courses and an arbitrary number of jobs.

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在有优先级限制的单机问题中最小化课程总加权持续时间
摘要 本文考虑的是一个单机调度问题,其中有给定的部分作业顺序。作业的子集称为课程。在安排作业时,必须使所有课程的总加权持续时间最小。我们考虑的情况是,每个课程的初始作业和最终作业都是唯一确定的。我们证明了所考虑问题的 NP 难度。我们提出了一种解决该问题的算法,其复杂度与作业总数呈多项式关系,但与课程数呈指数关系。
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来源期刊
Automation and Remote Control
Automation and Remote Control 工程技术-仪器仪表
CiteScore
1.70
自引率
28.60%
发文量
90
审稿时长
3-8 weeks
期刊介绍: Automation and Remote Control is one of the first journals on control theory. The scope of the journal is control theory problems and applications. The journal publishes reviews, original articles, and short communications (deterministic, stochastic, adaptive, and robust formulations) and its applications (computer control, components and instruments, process control, social and economy control, etc.).
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