A Multi-objective hybrid filter-wrapper evolutionary approach for feature selection.
Marwa HammamiSlim BechikhChih-Cheng HungLamjed Ben SaidPublished in: Memetic Comput. (2019)
Keyphrases
- feature selection
- multi objective
- wrapper method
- evolutionary optimization
- genetic algorithm
- preprocessing step
- evolutionary algorithm
- multi objective optimization
- sequential forward
- optimization algorithm
- multi objective evolutionary
- evolutionary computation
- mutual information
- simulated annealing and tabu search
- multiobjective optimization
- estimation of distribution algorithms
- text classification
- multi objective optimization problems
- text categorization
- multiple objectives
- feature subset selection
- feature ranking
- objective function
- classification accuracy
- feature space
- machine learning
- feature subset
- feature set
- support vector machine
- model selection
- multi class
- particle swarm optimization
- feature extraction
- conflicting objectives
- bi objective
- information gain
- high dimensionality
- nsga ii
- feature selection algorithms
- gene selection
- pareto optimal
- irrelevant features
- classification models
- dimensionality reduction
- trade off
- noise reduction
- wrapper feature selection
- evolutionary process
- simulated annealing
- optimization problems
- genetic programming
- filtering algorithm
- multi task
- gene expression data
- black box
- data sets