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Parallel and Distributed Processing Symposium, International (2008)
Miami, FL, USA
Apr. 14, 2008 to Apr. 18, 2008
ISBN: 978-1-4244-1693-6
pp: 1-5
Andreas Beham , Research Center Hagenberg, Upper Austrian University of Applied Sciences, Campus Hagenberg, Softwarepark 11, A-4232, Austria
Stefan Wagner , Department of Software Engineering, Upper Austrian University of Applied Sciences, Campus Hagenberg, Softwarepark 11, A-4232 Hagenberg, Austria
Michael Affenzeller , Department of Software Engineering, Upper Austrian University of Applied Sciences, Campus Hagenberg, Softwarepark 11, A-4232 Hagenberg, Austria
Stephan Winkler , Research Center Hagenberg, Upper Austrian University of Applied Sciences, Campus Hagenberg, Softwarepark 11, A-4232, Austria
ABSTRACT
Scheduling and dispatching are two ways of solving production planning problems. In this work, based on preceding works, it is explained how these two approaches can be combined by the means of an automated rule generation procedure and simulation. Genetic programming is applied as the creator and optimizer of the rules. A simulator is used for the fitness evaluation and distributed over a number of machines. Some example results suggest that the approach could be successfully applied in the real world as the results are more than human competitive.
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CITATION
Andreas Beham, Stefan Wagner, Michael Affenzeller, Stephan Winkler, "A genetic programming approach to solve scheduling problems with parallel simulation", Parallel and Distributed Processing Symposium, International, vol. 00, no. , pp. 1-5, 2008, doi:10.1109/IPDPS.2008.4536362
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