Feature Extraction and Selection for Parsimonious Classifiers With Multiobjective Genetic Programming.
Kaustuv NagNikhil R. PalPublished in: IEEE Trans. Evol. Comput. (2020)
Keyphrases
- genetic programming
- multi objective
- feature extraction and selection
- evolutionary algorithm
- feature set
- grammar guided genetic programming
- genetic algorithm
- multiobjective optimization
- pattern recognition
- evolutionary computation
- fitness function
- multi objective optimization
- symbolic regression
- multiple objectives
- gene expression programming
- training data
- decision trees
- optimization algorithm
- optimization problems
- training set
- feature selection
- feature extraction
- machine learning algorithms
- particle swarm optimization
- simulated annealing
- support vector
- conflicting objectives
- financial forecasting
- bi objective
- nsga ii
- multiobjective genetic algorithm
- objective function
- crossover operator
- naive bayes
- multiobjective evolutionary algorithm
- classifier ensemble
- data sets
- classification models
- feature space
- feature vectors
- classification accuracy
- support vector machine
- computational intelligence
- class labels
- binary classifiers
- pareto optimal
- linear classifiers
- classification algorithm
- differential evolution
- swarm intelligence