Optimal on-line algorithms for one batch machine with grouped processing times
Yang Fang,
Peihai Liu and
Xiwen Lu ()
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Yang Fang: East China University of Science and Technology
Peihai Liu: East China University of Science and Technology
Xiwen Lu: East China University of Science and Technology
Journal of Combinatorial Optimization, 2011, vol. 22, issue 4, No 3, 509-516
Abstract:
Abstract 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+φ)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.
Keywords: Batching; Scheduling; On-line algorithm; Delivery time (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (3)
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DOI: 10.1007/s10878-010-9298-6
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