Ensemble methods based on characterization of dynamism for dynamic multi-objective optimization.
Chuwen JiangFangzhen GeDebao ChenHuaiyu LiuPublished in: Appl. Soft Comput. (2022)
Keyphrases
- multi objective optimization
- ensemble methods
- multi objective
- evolutionary algorithm
- prediction accuracy
- decision trees
- benchmark datasets
- pareto optimal
- nsga ii
- random forests
- machine learning methods
- drifting concepts
- genetic algorithm
- multi objective optimization problems
- generalization ability
- ensemble learning
- random forest
- multiple objectives
- majority voting
- base classifiers
- multi objective genetic algorithms
- classifier ensemble
- multi objective genetic algorithm
- multi objective evolutionary algorithms
- bootstrap sampling
- feature subset
- pareto optimal set
- complex optimization problems
- neural network
- feature extraction
- bi objective
- training data
- upper bound
- metaheuristic
- differential evolution