A surrogate-ensemble assisted expensive many-objective optimization.
Yi ZhaoChaoli SunJianchao ZengYing TanGuochen ZhangPublished in: Knowl. Based Syst. (2021)
Keyphrases
- ensemble methods
- multiple objectives
- ensemble learning
- computationally intensive
- neural network
- random forest
- training set
- classifier ensemble
- data sets
- high cost
- regression problems
- evolutionary algorithm
- ensemble classification
- pruning algorithm
- error prone
- base classifiers
- feature selection
- ensemble pruning
- multiple classifiers
- majority voting
- labor intensive
- machine learning
- random forests
- training data
- search algorithm
- genetic programming
- multi class
- multi objective