MPEA-FS: A decomposition-based multi-population evolutionary algorithm for high-dimensional feature selection.
Wangwang LiZheng-Yi ChaiPublished in: Expert Syst. Appl. (2024)
Keyphrases
- feature selection
- evolutionary algorithm
- multi population
- genetic algorithm
- high dimensional
- high dimensionality
- microarray data
- gene selection
- dimensionality reduction
- feature space
- multi objective
- gene expression data
- high dimension
- evolutionary computation
- multi objective optimization
- optimization problems
- text categorization
- function optimization
- low dimensional
- genetic programming
- differential evolution
- feature selection algorithms
- mutation operator
- simulated annealing
- support vector
- variable selection
- classification accuracy
- text classification
- similarity search
- small sample
- machine learning
- model selection
- haplotype inference
- feature subset
- fitness function
- feature set
- support vector machine
- knn
- dynamic optimization
- feature extraction
- supervised feature selection
- high dimensional data
- neural network
- crossover operator
- data points
- particle swarm optimization
- pattern recognition