Dynamic Programming for Optimal Control of Set-Up Scheduling with Neural Network Modifications

Abstract

This paper demonstrates an optimal control solution to change of machine set-up schedulmg based on dynamic programming average cost per stage value iteration as set forth by Cararnanis et. a!. [2] for the 2D case. The difficulty with the optimal approach lies in the explosive computational growth of the resulting solution. A method of reducing the… (More)

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Cite this paper

@inproceedings{Bradski1991DynamicPF, title={Dynamic Programming for Optimal Control of Set-Up Scheduling with Neural Network Modifications}, author={Gary R. Bradski}, year={1991} }