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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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Pubblicato in:Systems vol. 13, no. 8 (2025), p. 659-679
Autore principale: Yang Bihao
Altri autori: Chen, Jie, Xiao Xiongxin, Li, Sidi, Teng, Ren
Pubblicazione:
MDPI AG
Soggetti:
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
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