Multi-objective multi-population Genetic Programming for feature selection and classification to high-dimensional data.
Qiaoman LiXiaoying GaoWenyang MengJianbin MaPublished in: GECCO Companion (2024)
Keyphrases
- high dimensional data
- feature selection and classification
- multi population
- multi objective
- genetic programming
- genetic algorithm
- high dimensionality
- evolutionary algorithm
- grammar guided genetic programming
- dimensionality reduction
- fitness function
- nearest neighbor
- optimization algorithm
- high dimensional
- evolutionary computation
- data analysis
- low dimensional
- particle swarm optimization
- data sets
- subspace clustering
- feature selection
- data points
- low rank
- gene expression data
- high dimensional datasets
- neural network
- optimization problems
- simulated annealing
- regression problems
- multi objective evolutionary algorithms
- genetic algorithm ga
- feature extraction
- differential evolution
- input data
- pattern recognition
- metaheuristic
- objective function
- database
- high dimensional spaces
- selected features
- nsga ii
- decision trees
- training set