Statistical Learning-Assisted Evolutionary Algorithm for Digital Twin-Driven Job Shop Scheduling with Discrete Operation Sequence Flexibility

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Detalles Bibliográficos
Publicado en:	Symmetry vol. 17, no. 10 (2025), p. 1614-1634
Autor principal:	Jia, Yan
Otros Autores:	Cheng Weiyao, Meng Leilei, Zhang Chaoyong
Publicado:	MDPI AG
Materias:	Linear programming Collaboration Integer programming Workshops Optimization Job shops Manufacturing Machine learning Energy consumption Evolutionary algorithms Preventive maintenance Factories Scheduling Search methods Digital twins Genetic algorithms Knowledge Decision making Flexibility Operators Mixed integer Industry 4.0 Industry 5.0 HyperText Markup Language Job shop scheduling
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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