Dósa György, Fügenschuh Armin, Tan Zhiyi, Tuza Zsolt, Węsek Krzysztof
1Department of Mathematics, University of Pannonia, Veszprém, Hungary.
Helmut Schmidt University/University of the Federal Armed Forces Hamburg, Holstenhofweg 85, 22043 Hamburg, Germany.
Cent Eur J Oper Res. 2018;26(1):161-180. doi: 10.1007/s10100-017-0481-z. Epub 2017 Jun 14.
We consider a semi-online version of the problem of scheduling a sequence of jobs of different lengths on two uniform machines with given speeds 1 and . Jobs are revealed one by one (the assignment of a job has to be done before the next job is revealed), and the objective is to minimize the makespan. In the considered variant the optimal offline makespan is known in advance. The most studied question for this online-type problem is to determine the optimal competitive ratio, that is, the worst-case ratio of the solution given by an algorithm in comparison to the optimal offline solution. In this paper, we make a further step towards completing the answer to this question by determining the optimal competitive ratio for between [Formula: see text] and [Formula: see text], one of the intervals that were still open. Namely, we present and analyze a compound algorithm achieving the previously known lower bounds.
在两台速度分别为1和 的均匀机器上调度一系列不同长度的作业。作业逐个出现(必须在揭示下一个作业之前完成对一个作业的分配),目标是最小化完工时间。在考虑的变体中,最优离线完工时间是预先已知的。对于这个在线类型的问题,研究最多的问题是确定最优竞争比,即算法给出的解与最优离线解相比的最坏情况比率。在本文中,我们朝着完成这个问题的答案又迈进了一步,通过确定 在[公式:见正文]和[公式:见正文]之间(仍未解决的区间之一)的最优竞争比。具体而言,我们提出并分析了一种复合算法,该算法达到了先前已知的下界。