Assessing the Ability of Genetic Programming for Feature Selection in Constructing Dispatching Rules for Unrelated Machine Environments.
Marko DurasevicDomagoj JakobovicStjepan PicekLuca MariotPublished in: Algorithms (2024)
Keyphrases
- genetic programming
- feature selection
- classification rules
- fitness function
- symbolic regression
- evolutionary computation
- regression problems
- association rules
- financial forecasting
- fuzzy rule based systems
- machine learning
- grammar guided genetic programming
- feature selection algorithms
- gene expression programming
- rule extraction
- high dimensionality
- evolutionary algorithm
- text categorization
- multi class
- real world
- scheduling problem
- feature construction
- text classification
- information gain
- mutual information
- discriminative features
- learning algorithm
- knowledge base
- batch processing
- parameter optimization
- rule learning
- dynamic environments
- feature extraction
- production rules
- rule sets
- classification accuracy
- support vector
- model selection
- np hard