Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces.
Samuel DaultonDavid ErikssonMaximilian BalandatEytan BakshyPublished in: CoRR (2021)
Keyphrases
- multi objective
- optimization algorithm
- high dimensional
- multiple objectives
- evolutionary optimization
- search space
- multi objective optimization
- evolutionary algorithm
- multiobjective optimization
- optimum design
- optimization method
- conflicting objectives
- multi objective evolutionary algorithms
- particle swarm optimization
- multi dimensional
- optimization problems
- engineering design problems
- objective function
- constrained optimization
- maximum likelihood
- differential evolution
- multi objective optimization problems
- global optimization
- dimensionality reduction
- bi objective
- pareto optimal
- high dimensional data
- genetic algorithm
- design space
- particle swarm
- nearest neighbor
- optimization process
- gene expression data
- data points
- variable selection
- bayesian networks
- decision making
- high dimensionality
- low dimensional
- neural network