A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems
- 30 April 2006
- journal article
- Published by Elsevier BV in Engineering Applications of Artificial Intelligence
- Vol. 19 (3), 247-255
- https://doi.org/10.1016/j.engappai.2005.09.009
Abstract
No abstract availableKeywords
This publication has 39 references indexed in Scilit:
- Indentifying attributes for knowledge-based development in dynamic scheduling environmentsInternational Journal of Production Research, 1996
- A review of machine learning in schedulingIEEE Transactions on Engineering Management, 1994
- A robust adaptive scheduler for an intelligent workstation controllerInternational Journal of Production Research, 1993
- Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithmsInternational Journal of Man-Machine Studies, 1992
- Evaluation of traditional work scheduling rules in a flexible manufacturing system with a physical simulatorJournal of Manufacturing Systems, 1988
- Experimental investigation of flexible manufacturing system scheduling decision rulesInternational Journal of Production Research, 1987
- Sequencing Rules and Due-Date Assignments in a Job ShopManagement Science, 1984
- Characterization of automatic guided vehicle dispatching rulesInternational Journal of Production Research, 1984
- A state-of-the-art survey of dispatching rules for manufacturing job shop operationsInternational Journal of Production Research, 1982
- A Recursive Partitioning Decision Rule for Nonparametric ClassificationIEEE Transactions on Computers, 1977