Haixia Li, Youzeng Wang, Qingfeng Liu, Sun Chuanguang
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Abstract
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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