Gaussian process surrogate models for the CMA-ES.
Lukás BajerZbynek PitraJakub RepickýMartin HolenaPublished in: GECCO (Companion) (2019)
Keyphrases
- gaussian process
- cma es
- evolution strategy
- covariance matrix
- gaussian processes
- evolutionary algorithm
- regression model
- approximate inference
- bayesian framework
- gaussian process regression
- differential evolution
- model selection
- hyperparameters
- latent variables
- semi supervised
- gaussian process classification
- covariance function
- expectation propagation
- genetic algorithm
- sample size
- gaussian process models
- sparse approximations
- particle swarm optimization algorithm
- genetic programming
- global search
- feature extraction
- image processing
- closed form
- em algorithm
- simulated annealing
- principal component analysis
- support vector
- neural network