Bandit Algorithms using Monte Carlo Rollouts for Job Shop Scheduling. In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium, pages 318-330, 2013.
Paper
Various bandit algorithms for approximating solutions to the job-shop scheduling problem are presented. The methods use a one step look-ahead procedure to evaluate all jobs available for dispatching, by generating multiple feasible schedules via Monte Carlo rollouts. Jobs are then dispatched based on statistics collected from these rollouts. These di?erent bandit algorithms di?er in the way jobs are dispatched based on the statistics collected. Rollout algorithms designed for combinatorial optimization apply sequentially consistent heuristics, the algorithms presented here use inconsistent heuristics. The methods are tested on 600 job-shop problems of three di?erent dimensions
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@INPROCEEDINGS{2013-318-330-P, author = {E. Geirsson and T.P. Runarsson },
title = {Bandit Algorithms using Monte Carlo Rollouts for Job Shop Scheduling},
booktitle = {In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium},
year = {2013},
editor = {G. Kendall and B. McCollum and G. {Venden Berghe}},
pages = {318--330},
note = {Paper},
abstract = {Various bandit algorithms for approximating solutions to the job-shop scheduling problem are presented. The methods use a one step look-ahead procedure to evaluate all jobs available for dispatching, by generating multiple feasible schedules via Monte Carlo rollouts. Jobs are then dispatched based on statistics collected from these rollouts. These di?erent bandit algorithms di?er in the way jobs are dispatched based on the statistics collected. Rollout algorithms designed for combinatorial optimization apply sequentially consistent heuristics, the algorithms presented here use inconsistent heuristics. The methods are tested on 600 job-shop problems of three di?erent dimensions},
owner = {Graham},
timestamp = {2017.01.16},
webpdf = {2013-318-330-P.pdf} }