Multi-objective techniques in genetic programming for evolving classifiers.
Daniel ParrottXiaodong LiVictor CiesielskiPublished in: Congress on Evolutionary Computation (2005)
Keyphrases
- genetic programming
- multi objective
- evolutionary algorithm
- grammar guided genetic programming
- genetic algorithm
- fitness function
- optimization algorithm
- multi objective optimization
- evolutionary computation
- symbolic regression
- gene expression programming
- training data
- decision trees
- particle swarm optimization
- multiobjective optimization
- supervised classification
- financial forecasting
- multiple objectives
- training set
- multi objective optimization problems
- simulated annealing
- optimum design
- classification models
- roc curve
- machine learning methods
- support vector
- data sets
- svm classifier
- multi objective evolutionary
- nsga ii
- test set
- machine learning algorithms
- conflicting objectives
- classification systems
- pareto optimal
- classification rules
- optimization problems
- objective function
- feature selection
- feature extraction
- training samples
- neural network
- multi objective evolutionary algorithms
- bi objective
- linear classifiers
- class labels
- differential evolution