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Optimal on-line algorithms for one batch machine with grouped processing times. (English) Zbl 1236.90052

Summary: In this paper, we study on-line scheduling problems on a batch machine with the assumption that all jobs have their processing times in \([p, (1+\phi )p]\), where \(p>0\) and \(\phi=(\sqrt{5}-1)/2\). Jobs arrive over time. First, we deal with the on-line problem on a bounded batch machine with the objective to minimize makespan. A class of algorithms with competitive ratio \((\sqrt{5}+1)/2\) are given. Then we consider the scheduling on an unbounded batch machine to minimize the time by which all jobs have been delivered, and provide a class of on-line algorithms with competitive ratio \((\sqrt{5}+1)/2\). The two class of algorithms are optimal for the problems studied here.

MSC:

90B35 Deterministic scheduling theory in operations research
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References:

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