A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems

Abstract

Dispatching rules are frequently used to schedule jobs in flexible manufacturing systems (FMSs) dynamically. A drawback, however, to using dispatching rules is that their performance is dependent on the state of the system, but no single rule exists that is superior to all the others for all the possible states the system might be in. This drawback would be… (More)
DOI: 10.1016/j.engappai.2005.09.009

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@article{Priore2006ACO, title={A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems}, author={Paolo Priore and David de la Fuente and Javier Puente and Jos{\'e} Parre{\~n}o}, journal={Eng. Appl. of AI}, year={2006}, volume={19}, pages={247-255} }