Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization.
Lukás BajerZbynek PitraMartin HolenaPublished in: GECCO (Companion) (2015)
Keyphrases
- black box
- gaussian processes
- random forests
- random forest
- gaussian process
- ensemble methods
- logistic regression
- decision trees
- machine learning algorithms
- test cases
- hyperparameters
- genetic algorithm
- depth images
- multi task
- sample size
- optimization method
- benchmark datasets
- model selection
- genetic programming
- data sets