Extending Graham's result on scheduling to other heuristics

Extending Graham's result on scheduling to other heuristics

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Article ID: iaor20022811
Country: Netherlands
Volume: 29
Issue: 4
Start Page Number: 149
End Page Number: 153
Publication Date: Nov 2001
Journal: Operations Research Letters
Authors: ,
Keywords: combinatorial analysis
Abstract:

This paper considers the off-line scheduling problem where a list of jobs must be scheduled on k-parallel processors. The heuristic of Graham is relaxed to create a class of algorithms which includes many well-known algorithms such as best fit, first fit, random fit and greedy. We show that Graham's upper bound of 4/3 – 1/3k for the competitive ratios under the Cmax norm applies to all algorithms of this class.

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