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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Publié dans:	Systems vol. 13, no. 8 (2025), p. 659-679
Auteur principal:	Yang Bihao
Autres auteurs:	Chen, Jie, Xiao Xiongxin, Li, Sidi, Teng, Ren
Publié:	MDPI AG
Sujets:	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
Accès en ligne:	Citation/Abstract Full Text + Graphics Full Text - PDF
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