Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification.
Yu XueHaokai ZhuJiayu LiangAdam SlowikPublished in: Knowl. Based Syst. (2021)
Keyphrases
- multi objective
- crossover operator
- genetic algorithm
- evolutionary algorithm
- feature selection
- real coded genetic algorithms
- nsga ii
- mutation operator
- classification accuracy
- fitness function
- multi objective optimization
- text classification
- optimization algorithm
- genetic algorithm ga
- differential evolution
- genetic operators
- classification models
- function optimization
- particle swarm optimization
- selection operator
- support vector
- hybrid genetic algorithm
- feature space
- multiobjective evolutionary algorithm
- evolutionary computation
- feature extraction
- explore the search space
- constrained multi objective optimization problems
- feature set
- traveling salesman problem
- artificial neural networks
- feature selection algorithms
- support vector machine
- population diversity
- optimization method
- crossover and mutation operators
- genetic programming
- feature subset
- neural network
- simulated annealing
- binary classifiers
- optimization problems
- particle swarm
- multiple objectives
- metaheuristic
- mutation probability
- machine learning
- svm classifier
- feature subset selection
- constrained optimization problems
- text categorization
- objective function