Evolutionary local improvement on genetic algorithms for feature selection.
Leandro Daniel VignoloMatias Fernando GerardPublished in: CLEI (2017)
Keyphrases
- genetic algorithm
- feature selection
- evolutionary computation
- genetic search
- evolutionary neural networks
- evolutionary approaches
- evolutionary computing
- parameter optimization
- neural network
- evolutionary methods
- evolutionary optimization
- multi objective
- machine learning
- multi class
- feature space
- simulated annealing
- genetic programming
- text categorization
- artificial neural networks
- evolutionary process
- evolutionary algorithm
- fitness function
- significant improvement
- multi objective optimization
- method for feature selection
- feature extraction
- unsupervised feature selection
- information gain
- classification accuracy
- metaheuristic
- unsupervised learning
- feature set
- mutual information
- irrelevant features
- learning algorithm
- semi supervised
- decision trees
- dimensionality reduction
- redundant features
- evolutionary search
- support vector
- evolution process
- feature subset
- text classification
- model selection
- feature subset selection
- feature weighting
- multi task
- tabu search
- hybrid algorithm