Improved Bounds on Relaxations of a Parallel Machine Scheduling Problem

被引:0
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作者
Cynthia A. Phillips
Andreas S. Schulz
David B. Shmoys
Cliff Stein
Joel Wein
机构
[1] Sandia National Labs,Department of Mathematics
[2] Technical University of Berlin,School of Operations Research & Industrial Engineering and Department of Computer Science
[3] Cornell University,Department of Computer Science, Sudikoff Laboratory
[4] Dartmouth College,Department of Computer Science
[5] Polytechnic University,undefined
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关键词
scheduling; preemptive scheduling; release dates; identical parallel machines; average completion time; approximation algorithms; relaxations; linear programming;
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摘要
We consider the problem of scheduling n jobs withrelease dates on m identical parallel machines to minimize the average completion time of the jobs. We prove that the ratio of the average completion time of the optimal nonpreemptive schedule to that of the optimal preemptive schedule is at most 7/3, improving a bound of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$(3 - \frac{1}{m})$$ \end{document}Shmoys and Wein.
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页码:413 / 426
页数:13
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