GAAMmf: genetic algorithm with aggressive mutation and decreasing feature set for feature selection.
Izabela RejerKrzysztof LorenzPublished in: Genet. Program. Evolvable Mach. (2023)
Keyphrases
- feature set
- genetic algorithm
- feature selection
- fitness function
- population size
- evolutionary algorithm
- random forest
- classification accuracy
- selected features
- genetic operators
- feature subset
- feature selection algorithms
- mutation operator
- genetic algorithm ga
- crossover and mutation
- multi objective
- feature space
- feature extraction
- artificial neural networks
- feature vectors
- texture features
- kernel function
- differential evolution
- feature representation
- neural network
- metaheuristic
- text classification
- genetic programming
- simulated annealing
- crossover operator
- classification models
- model selection
- text categorization
- multiple features
- support vector machine
- support vector
- evolutionary process
- feature reduction
- machine learning
- parameter optimization
- data mining
- feature selections
- single feature
- optimization method
- class labels
- particle swarm optimization