Meta-Learning for Optimization: A Case Study on the Flowshop Problem Using Decision Trees.
Lucas M. PavelskiMyriam Regattieri DelgadoMarie-Eléonore KessaciPublished in: CEC (2018)
Keyphrases
- meta learning
- decision trees
- flowshop
- scheduling problem
- machine learning algorithms
- flowshop scheduling
- base classifiers
- inductive learning
- flowshop scheduling problems
- processing times
- model selection
- minimizing makespan
- bicriteria
- learning tasks
- machine learning
- special case
- optimization problems
- case study
- feature selection
- naive bayes
- training set
- optimization method
- training data
- ensemble methods
- benchmark datasets
- metamodel
- data sets
- data mining
- machine learning methods
- bayesian networks