A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems.
Paolo PrioreDavid de la FuenteJavier PuenteJosé ParreñoPublished in: Eng. Appl. Artif. Intell. (2006)
Keyphrases
- machine learning algorithms
- flexible manufacturing systems
- dynamic scheduling
- manufacturing systems
- benchmark data sets
- learning algorithm
- decision trees
- real time control
- machine learning
- machine learning methods
- predictive accuracy
- random forests
- machine learning approaches
- learning problems
- machine learning systems
- machine learning models
- standard machine learning algorithms
- multi agent
- learning models
- image analysis
- reinforcement learning
- statistical machine learning
- machine learning and data mining algorithms