AdaBoost-inspired multi-operator ensemble strategy for multi-objective evolutionary algorithms.
Chao WangRan XuJianfeng QiuXingyi ZhangPublished in: Neurocomputing (2020)
Keyphrases
- multi objective evolutionary algorithms
- ensemble methods
- ensemble learning
- base classifiers
- multi objective
- classifier ensemble
- learning algorithm
- training data
- weak learners
- evolutionary algorithm
- multi objective optimization
- multi class
- decision trees
- multi criteria
- multi objective optimization problems
- differential evolution
- face detection
- ensemble classifier
- boosting algorithms
- bi objective
- training set
- neural network
- computational efficiency
- test problems
- nsga ii
- shortest path
- multiobjective optimization
- linear programming
- genetic algorithm