HMXT-GP: an information-theoretic approach to genetic programming that maintains diversity.
Henry SantosaJohn MiltonPaul J. KennedyPublished in: SAC (2011)
Keyphrases
- genetic programming
- fitness function
- evolutionary computation
- symbolic regression
- evolutionary algorithm
- gene expression programming
- genetic algorithm
- classification rules
- genetic algorithm ga
- grammar guided genetic programming
- information systems
- machine learning
- premature convergence
- financial forecasting
- regression model
- simulated annealing
- data mining
- high dimensional
- bayesian networks
- differential evolution
- regression problems
- hyper heuristics
- feature selection
- evolutionary approaches