The performance of polyploid evolutionary algorithms is improved both by having many chromosomes and by having many copies of each chromosome on symbolic regression problems.
Rachel CavillStephen L. SmithAndy TerrellPublished in: Congress on Evolutionary Computation (2005)
Keyphrases
- evolutionary algorithm
- regression problems
- genetic programming
- fitness function
- genetic operators
- genetic algorithm
- linear regression
- cross validation
- differential evolution
- crossover operator
- genetic algorithm ga
- input space
- hyperparameters
- high dimensional data
- support vector machine
- random forests
- multi class
- data points
- parameter settings
- artificial neural networks
- pattern recognition