Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization.
Samuel DaultonMaximilian BalandatEytan BakshyPublished in: CoRR (2020)
Keyphrases
- multi objective
- uniform design
- optimization algorithm
- nsga ii
- objective function
- multiple objectives
- evolutionary optimization
- multiobjective optimization
- multi objective optimization
- optimum design
- evolutionary algorithm
- conflicting objectives
- particle swarm optimization
- optimization method
- pareto optimal
- optimization problems
- multi objective evolutionary algorithms
- bi objective
- genetic algorithm
- multiobjective evolutionary algorithm
- efficient optimization
- particle swarm
- global optimization
- constrained optimization
- loss function
- particle swarm optimization pso
- optimization methods
- neural network
- shared memory
- search algorithm
- test problems
- estimation of distribution algorithms
- parallel processing
- candidate solutions
- bayesian networks
- parallel computing
- differential evolution
- fitness function
- significant improvement