Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization.
Ruwang JiaoBing XueMengjie ZhangPublished in: IEEE Trans. Evol. Comput. (2022)
Keyphrases
- highly constrained
- gaussian process
- gaussian processes
- constrained problems
- regression model
- gaussian process regression
- approximate inference
- hyperparameters
- optimization problems
- model selection
- bayesian framework
- gaussian process classification
- latent variables
- semi supervised
- sparse approximations
- expectation propagation
- covariance function
- graphical models
- machine learning
- constraint satisfaction
- cross validation