An Enhanced NSGA-II Driven by Deep Reinforcement Learning to Mixed Flow Assembly Workshop Scheduling System with Constraints of Continuous Processing and Mold Changing

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Bibliografiska uppgifter
I publikationen:	Systems vol. 13, no. 8 (2025), p. 659-679
Huvudupphov:	Yang Bihao
Övriga upphov:	Chen, Jie, Xiao Xiongxin, Li, Sidi, Teng, Ren
Utgiven:	MDPI AG
Ämnen:	Work stations Space exploration Integer programming Workpieces Deep learning Molds Optimization Batch processing Multiple objective analysis Manufacturing Batch production Heuristic Efficiency Optimization models Assembly lines Scheduling Continuous casting Operators (mathematics) Genetic algorithms Searching Solution space Algorithms Constraints
Länkar:	Citation/Abstract Full Text + Graphics Full Text - PDF
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