Gaussian Process-assisted Evolutionary Algorithm for Constrained Expensive Multi-Objective Optimization.
Haofeng WuJinliang DingQingda ChenPublished in: ASCC (2022)
Keyphrases
- multi objective optimization
- gaussian process
- evolutionary algorithm
- multi objective
- gaussian processes
- optimization problems
- approximate inference
- hybrid evolutionary algorithm
- constrained multi objective optimization problems
- gaussian process regression
- regression model
- covariance function
- differential evolution
- model selection
- semi supervised
- multi objective optimization problems
- genetic programming
- latent variables
- simulated annealing
- nsga ii
- genetic algorithm
- bayesian framework
- gaussian process models
- pareto optimal
- hyperparameters
- fitness function
- multi objective problems
- higher order
- expectation propagation
- multi objective evolutionary algorithms
- mutation operator
- particle swarm optimization
- np hard
- genetic operators
- test problems
- cross validation
- pareto optimal set
- optimization algorithm
- machine learning