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Maximum latency scheduling problem on two-person cooperative games

机译:两人合作游戏的最大延迟调度问题

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This paper studies a two-person cooperative game in which a set of jobs has to be processed jointly by two people. Each of them has a single machine and his processing cost is defined as the minimum value of the maximum latency of his negotiably assigned jobs. The objective is to maximize the multiplication of their rational positive cooperative profits. In the case where all jobs have the same processing time, if they have a common due date, the problem is polynomial-time solvable; if due dates can be different, there exits an optimal schedule in which the jobs assigned to each person are scheduled in Earlier Due Date first (EDD) order and a polynomial-time dynamic programming is further proposed. In the case where processing times can be different, the NP-completeness of this problem is proved, and a pseudo-polynomial-time dynamic programming algorithm is developed.
机译:本文研究了一个两人合作游戏,其中一组工作必须由两个人共同处理。他们每个人都有一台机器,其处理成本定义为通过谈判分配的作业的最大延迟的最小值。目的是使他们的理性正合作利润最大化。在所有作业具有相同的处理时间的情况下,如果它们具有相同的到期日期,则问题可以通过多项式时间解决。如果到期日期可以不同,则存在一个最佳计划,其中分配给每个人的工作按“优先到期日优先”(EDD)顺序进行计划,并进一步提出多项式时间动态规划。在处理时间可以不同的情况下,证明了该问题的NP完备性,并开发了伪多项式时间动态规划算法。

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