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Two-agent preemptive Pareto-scheduling to minimize the number of tardy jobs and total late work
Journal of Combinatorial Optimization ( IF 0.9 ) Pub Date : 2021-01-20 , DOI: 10.1007/s10878-021-00697-2
Ruyan He , Jinjiang Yuan , C. T. Ng , T. C. E. Cheng

We consider the single-machine preemptive Pareto-scheduling problem with two competing agents A and B, where agent A wants to minimize the number of its jobs (the A-jobs) that is tardy, while agent B wants to minimize the total late work of its jobs (the B-jobs). We provide an \(O(nn_{A}\log n_{A}+n_B\log n_B)\)-time algorithm that generates all the Pareto-optimal points, where \(n_A\) is the number of the A-jobs, \(n_B\) is the number of the B-jobs, and \(n=n_A+n_B\).



中文翻译:

两主体抢占式Pareto调度可最大程度地减少延迟工作的数量和总的延迟工作

我们考虑具有两个竞争代理AB的单机先占式Pareto调度问题,其中代理A希望将其迟到的工作数量(A -jobs)减至最少,而代理B希望将延迟的总工作量减至最少其工作(B工作)。我们提供\(O(nn_ {A} \ log n_ {A} + n_B \ log n_B)\) -time算法,该算法生成所有帕累托最优点,其中\(n_A \)A的数字-作业,\(n_B \)B作业的数量,\(n = n_A + n_B \)

更新日期:2021-01-20
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