Multi-objective Bayesian optimization over high-dimensional search spaces.
Samuel DaultonDavid ErikssonMaximilian BalandatEytan BakshyPublished in: UAI (2022)
Keyphrases
- multi objective
- optimization algorithm
- high dimensional
- multiple objectives
- evolutionary optimization
- evolutionary algorithm
- conflicting objectives
- multi objective optimization
- search space
- optimum design
- multiobjective optimization
- optimization method
- engineering design problems
- optimization problems
- objective function
- particle swarm optimization
- particle swarm
- bayesian networks
- genetic algorithm
- bi objective
- multi objective optimization problems
- bayesian learning
- monte carlo sampling
- pareto optimal
- gaussian processes
- global optimization
- variable selection
- noisy data
- branch and bound
- combinatorial optimization
- low dimensional
- nearest neighbor
- bayesian inference
- neural network
- estimation of distribution algorithms
- multi objective evolutionary algorithms
- differential evolution
- similarity search
- high dimensional data
- trade off
- multiagent evolutionary algorithm