A non-specialized ensemble classifier using multi-objective optimization.
Sam FletcherBrijesh K. VermaMengjie ZhangPublished in: Neurocomputing (2020)
Keyphrases
- multi objective optimization
- ensemble classifier
- multi objective
- evolutionary algorithm
- mining concept drifting data streams
- ensemble learning
- ensemble methods
- concept drift
- random forest
- differential evolution
- genetic algorithm
- pareto optimal
- classification models
- base classifiers
- multi objective optimization problems
- preprocessing step
- fitness function
- fusion method
- support vector machine
- nsga ii
- optimization algorithm
- neural network
- decision trees
- feature selection
- artificial neural networks
- computational intelligence
- data sets
- class specific
- evolutionary computation
- prediction accuracy
- optimization problems