利用学习效应批量调度工作，使总加权完成时间最小化

2011 Seventh International Conference on Natural Computation Pub Date : 2011-07-26 DOI:10.1109/ICNC.2011.6022318

Haixia Li, Youzeng Wang, Qingfeng Liu, Sun Chuanguang

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摘要

在本文中，我们研究了具有学习效应的问题，即如何在单台或并行批处理机上最小化总加权完成时间。我们针对所有作业处理时间相同的三种特殊情况提供了一些最优算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Batch scheduling jobs with learning effect to minimize the total weighted completion time

In this paper, we study the problems with learning effect to minimize the total weighted completion time on a single or parallel batch machines. We provide some optimal algorithms for three special cases, where all the jobs have the same processing time.

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2011 Seventh International Conference on Natural Computation

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