A Surrogate-Assisted Many-Objective Evolutionary Algorithm Using Multi- Classification and Coevolution for Expensive Optimization Problems.
Ruoyu WangYuee ZhouHanning ChenLianbo MaMeng ZhengPublished in: IEEE Access (2021)
Keyphrases
- evolutionary algorithm
- optimization problems
- evolutionary computation
- multi objective
- image classification
- differential evolution
- text classification
- pattern recognition
- fitness function
- multi objective optimization
- optimization methods
- classification accuracy
- pattern classification
- genetic operators
- combinatorial optimization
- support vector
- feature extraction
- machine learning methods
- metaheuristic
- automatic classification
- support vector machine svm
- genetic programming
- simulated annealing
- supervised learning
- machine learning
- decision trees
- evolutionary process
- optimization method
- error prone
- classification systems
- function optimization
- feature space
- genetic algorithm
- data mining
- classification method
- class labels
- feature vectors
- high dimensional
- preprocessing
- objective function
- feature selection
- mutation operator
- neural network
- evolutionary strategy
- data sets