Robust Multi-Objective Bayesian Optimization Under Input Noise.
Samuel DaultonSait CakmakMaximilian BalandatMichael A. OsborneEnlu ZhouEytan BakshyPublished in: ICML (2022)
Keyphrases
- multi objective
- optimization algorithm
- multiple objectives
- evolutionary algorithm
- image noise
- evolutionary optimization
- multiobjective optimization
- multi objective optimization
- conflicting objectives
- noisy data
- optimization problems
- engineering design problems
- optimization method
- input data
- multi objective evolutionary algorithms
- computationally efficient
- efficient optimization
- genetic algorithm
- noisy environments
- greater robustness
- robust optimization
- optimum design
- imaging artifacts
- signal to noise ratio
- global optimization
- particle swarm optimization
- objective function
- pareto optimal
- gaussian noise
- constrained optimization
- geometric distortions
- noise level
- norm minimization
- bayesian approaches
- maximum likelihood
- genetic programming
- neural network