Stability of probabilistic scheduling problems with precedence constraints and weighted completion time objective. In proceedings of the 7th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2015), 25 - 28 Aug 2015, Prague, Czech Republic, pages 189-202, 2015.
Paper
We address the probabilistic problem of scheduling n tasks on m parallel identical machines under precedence constraints to minimize the probabilistic total weighted nishing time. Probabilities are associated explicitly with the data in the formulation of the problem to provide a natural model. Two strategies are proposed to solve the probabilistic problem Pm|qi, prec|?wiCi : The rst, called re-optimization, consists in solving separately each potential instance, the second called a priori strategy consists in updating a scheduling for the initial problem by means of a modication method. The aim of this paper is to dene and to study the behavior of the a priori strategy relying on natural modication method. Special care is devoted to evaluate the performance of the reoptimization and the a priori strategies.
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@INPROCEEDINGS{2015-189-202-P, author = {Z. Bouyahia},
title = {Stability of probabilistic scheduling problems with precedence constraints and weighted completion time objective},
booktitle = {In proceedings of the 7th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2015), 25 - 28 Aug 2015, Prague, Czech Republic},
year = {2015},
editor = {Z. Hanzalek and G. Kendall and B. McCollum and P. Sucha},
pages = {189--202},
note = {Paper},
abstract = { We address the probabilistic problem of scheduling n tasks on m parallel identical machines under precedence constraints to minimize the probabilistic total weighted nishing time. Probabilities are associated explicitly with the data in the formulation of the problem to provide a natural model. Two strategies are proposed to solve the probabilistic problem Pm|qi, prec|?wiCi : The rst, called re-optimization, consists in solving separately each potential instance, the second called a priori strategy consists in updating a scheduling for the initial problem by means of a modication method. The aim of this paper is to dene and to study the behavior of the a priori strategy relying on natural modication method. Special care is devoted to evaluate the performance of the reoptimization and the a priori strategies.},
owner = {Graham},
timestamp = {2017.01.16},
webpdf = {2015-189-202-P.pdf} }