Pages that link to "Item:Q2744897"
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The following pages link to A review of machine learning in dynamic scheduling of flexible manufacturing systems (Q2744897):
Displaying 9 items.
- Dispatching rule selection with Gaussian processes (Q301496) (← links)
- Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge (Q856675) (← links)
- Discovering dispatching rules using data mining (Q880519) (← links)
- A genetic algorithm with tabu search procedure for flexible job shop scheduling with transportation constraints and bounded processing times (Q1762161) (← links)
- A survey of dynamic scheduling in manufacturing systems (Q2268515) (← links)
- Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge (Q2581623) (← links)
- Using data continualization and expansion to improve small data set learning accuracy for early flexible manufacturing system (FMS) scheduling (Q3430239) (← links)
- Machine learning based adaptive production control for a multi-cell flexible manufacturing system operating in a random environment (Q4496899) (← links)
- Pattern mining‐based pruning strategies in stochastic local searches for scheduling problems (Q6082181) (← links)