Stochastic Diversity Loss and Scalability in Estimation of Distribution Genetic Programming.
Kangil KimRobert I. McKayPublished in: IEEE Trans. Evol. Comput. (2013)
Keyphrases
- genetic programming
- fitness function
- evolutionary computation
- gene expression programming
- grammar guided genetic programming
- regression problems
- evolutionary algorithm
- probability distribution
- accurate estimation
- density estimation
- financial forecasting
- probability density
- genetic algorithm
- discrete random variables
- expected loss
- evolutionary approaches
- symbolic regression
- maximum likelihood estimator
- probability density function
- power law
- learning automata
- hyper heuristics
- random variables
- robust estimation
- spatial distribution
- density distribution
- estimation error
- classification rules
- monte carlo
- data distribution