A hybrid CP/MOLS approach for multi-objective imbalanced classification.
Nicolas SzczepanskiGilles AudemardLaetitia JourdanChristophe LecoutreLucien MousinNadarajen VeerapenPublished in: GECCO (2021)
Keyphrases
- multi objective
- optimization algorithm
- decision trees
- classification method
- automatic classification
- feature vectors
- classification accuracy
- class labels
- multiple objectives
- classification scheme
- support vector
- evolutionary algorithm
- multi objective optimization
- machine learning
- machine learning methods
- support vector machine svm
- text classification
- feature extraction
- decision rules
- classification algorithm
- particle swarm optimization
- pattern classification
- classification models
- feature set
- pattern recognition
- class imbalance
- data sets
- decision boundary
- imbalanced data
- conflicting objectives