On genetic programming representations and fitness functions for interpretable dimensionality reduction.
Thomas UriotMarco VirgolinTanja AlderliestenPeter A. N. BosmanPublished in: GECCO (2022)
Keyphrases
- genetic programming
- fitness function
- dimensionality reduction
- classification rules
- evolutionary computation
- genetic algorithm ga
- evolutionary algorithm
- genetic operators
- fitness evaluation
- symbolic regression
- crossover operator
- principal components
- genetic algorithm
- principal component analysis
- feature extraction
- high dimensionality
- gene expression programming
- pattern recognition and machine learning
- low dimensional
- financial forecasting
- feature selection
- data representation
- high dimensional
- evolutionary process
- simulated annealing