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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Publicado no:	Systems vol. 13, no. 8 (2025), p. 659-679
Autor principal:	Yang Bihao
Outros Autores:	Chen, Jie, Xiao Xiongxin, Li, Sidi, Teng, Ren
Publicado em:	MDPI AG
Assuntos:	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
Acesso em linha:	Citation/Abstract Full Text + Graphics Full Text - PDF
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