A Comparative Analysis of Dimensionality Reduction Methods for Genetic Programming to Solve High-Dimensional Symbolic Regression Problems.
Lianjie ZhongJinghui ZhongChengyu LuPublished in: SMC (2021)
Keyphrases
- genetic programming
- regression problems
- high dimensional
- dimensionality reduction
- dimensionality reduction methods
- symbolic regression
- high dimensional data
- input space
- low dimensional
- evolutionary algorithm
- linear regression
- similarity search
- genetic algorithm
- cross validation
- data points
- neural network
- data sets
- principal component analysis