Feature selection approach for evolving reactive scheduling policies for dynamic job shop scheduling problem using gene expression programming

Dispatching rules are one of the most widely applied methods for solving Dynamic Job Shop Scheduling problems (DJSSP) in real-world manufacturing systems. Hence, the automated design of effective rules has been an important subject in the scheduling literature for the past several years. High comput...

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Bibliographic Details
Published in:	International Journal of Production Research Vol. 61; no. 15; pp. 5029 - 5052
Main Authors:	Shady, Salama, Kaihara, Toshiya, Fujii, Nobutada, Kokuryo, Daisuke
Format:	Journal Article
Language:	English
Published:	London Taylor & Francis 03.08.2023 Informa UK Limited Taylor & Francis LLC
Subjects:	Algorithms Automation discrete event simulation Dispatching rules dynamic job shop scheduling Feature selection Gene expression gene expression programming genetic programming Job shop scheduling Job shops Lateness Policies Scheduling Search process System effectiveness
ISSN:	0020-7543, 1366-588X
Online Access:	Get full text
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