Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System.
Thomas VoßJens HegerMazhar Zein El AbdinePublished in: Simul. Notes Eur. (2022)
Keyphrases
- decision trees
- flexible manufacturing systems
- reinforcement learning
- rule sets
- decision rules
- dynamic environments
- rule induction
- optimal policy
- manufacturing systems
- classification rules
- rule extraction
- function approximation
- background knowledge
- markov decision processes
- dynamic scheduling
- production rules
- machine learning
- decision tree induction
- naive bayes
- attribute values
- rough sets
- state space
- domain knowledge
- rule learning
- cooperative
- real time control
- constructive induction
- training data
- data sets
- decision tree classifiers