Surrogate Ensemble-Assisted Hyper-Heuristic Algorithm for Expensive Optimization Problems.
Rui ZhongJun YuChao ZhangMasaharu MunetomoPublished in: Int. J. Comput. Intell. Syst. (2023)
Keyphrases
- optimization problems
- evolutionary algorithm
- metaheuristic
- ensemble learning
- objective function
- cost function
- optimization methods
- ensemble methods
- traveling salesman problem
- random forests
- neural network
- ensemble classification
- genetic algorithm
- combinatorial optimization
- computationally expensive
- training data
- feature selection
- real time
- training set
- error prone
- ensemble classifier
- information systems
- neural network ensemble
- publicly available data sets
- machine learning
- final classification
- optimization criteria
- multiple classifiers
- multiple models
- majority voting
- simulated annealing
- random forest
- base classifiers
- decision trees
- multi objective