Surrogate-Assisted Flip for Evolutionary High-Dimensional Multiobjective Feature Selection.
Qi-Te YangLiu-Yue LuoChun-Hua ChenJian-Yu LiJing-Hui ZhongJun ZhangZhi-Hui ZhanPublished in: CEC (2024)
Keyphrases
- multi objective
- high dimensional
- feature selection
- evolutionary optimization
- high dimensionality
- genetic algorithm
- dimensionality reduction
- feature space
- evolutionary algorithm
- multi objective optimization
- optimization algorithm
- microarray data
- multiobjective optimization
- small sample
- high dimension
- gene expression data
- dimension reduction
- evolutionary computation
- text categorization
- genetic search
- particle swarm optimization
- high dimensional data
- mutual information
- variable selection
- text classification
- low dimensional
- multiple objectives
- objective function
- similarity search
- conflicting objectives
- classification accuracy
- information gain
- neural network
- feature selection algorithms
- nearest neighbor
- multi class
- machine learning
- support vector
- parameter space
- multiobjective evolutionary algorithm
- feature set
- nsga ii
- discriminative features
- feature extraction
- data points
- pareto optimal solutions
- knn
- multiobjective genetic algorithm
- uniform design
- data sets
- artificial bee colony
- irrelevant features
- differential evolution
- selected features
- principal component analysis
- genetic programming
- feature subset
- model selection