Ensemble Learning via Multimodal Multiobjective Differential Evolution and Feature Selection.
Jie WangBo WangJing LiangKunjie YuCaitong YueXiangyang RenPublished in: BIC-TA (1) (2019)
Keyphrases
- ensemble learning
- differential evolution
- multi objective
- evolutionary algorithm
- feature selection
- optimization algorithm
- particle swarm optimization
- artificial bee colony
- multi objective optimization
- genetic algorithm
- nsga ii
- convergence speed
- optimization method
- generalization ability
- differential evolution algorithm
- mutation operator
- parameter optimization
- multi objective optimization problems
- multiobjective optimization
- ensemble methods
- optimization problems
- random forest
- particle swarm optimization pso
- crossover operator
- ensemble classifier
- simulated annealing
- multi objective problems
- fitness function
- support vector
- feature extraction
- feature set
- text categorization
- objective function
- machine learning
- concept drift
- feature subset
- genetic programming
- base classifiers
- support vector machine
- classification accuracy
- supervised learning
- unlabeled data
- pso algorithm
- active learning
- swarm intelligence
- multi objective evolutionary algorithms
- data sets
- training set
- genetic operators
- knn
- multi class
- model selection