Ensemble learning based on fitness Euclidean-distance ratio differential evolution for classification.
Jing LiangYunpeng WeiBoyang QuCaitong YueHui SongPublished in: Nat. Comput. (2021)
Keyphrases
- differential evolution
- euclidean distance
- ensemble learning
- evolutionary algorithm
- generalization ability
- feature vectors
- genetic algorithm
- convergence speed
- distance measure
- particle swarm optimization
- optimization algorithm
- classification accuracy
- mutation operator
- ensemble methods
- optimization method
- similarity measure
- multi objective
- support vector machine
- feature selection
- pattern recognition
- learning algorithm
- bp neural network
- support vector
- classification algorithm
- class labels
- data sets
- feature extraction
- distance function
- benchmark datasets
- support vector machine svm
- image classification
- data points
- fitness function
- training set
- decision trees
- dimensionality reduction
- crossover operator
- svm classifier
- prediction accuracy
- training samples
- random forest
- feature set