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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Bibliografski detalji
Izdano u:	Systems vol. 13, no. 8 (2025), p. 659-679
Glavni autor:	Yang Bihao
Daljnji autori:	Chen, Jie, Xiao Xiongxin, Li, Sidi, Teng, Ren
Izdano:	MDPI AG
Teme:	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
Online pristup:	Citation/Abstract Full Text + Graphics Full Text - PDF
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