Large-Batch, Neural Multi-Objective Bayesian Optimization.
Navid AnsariHans-Peter SeidelVahid BabaeiPublished in: CoRR (2023)
Keyphrases
- multi objective
- optimization algorithm
- multiple objectives
- multiobjective optimization
- conflicting objectives
- evolutionary algorithm
- evolutionary optimization
- optimum design
- multi objective optimization
- optimization problems
- optimization method
- engineering design problems
- genetic algorithm
- network architecture
- neural network
- particle swarm
- multi objective optimization problems
- optimization process
- bayesian networks
- particle swarm optimization
- maximum likelihood
- objective function
- grammar guided genetic programming
- posterior probability
- nsga ii
- single objective optimization
- differential evolution
- multi objective evolutionary algorithms
- multi objective genetic algorithm
- computational intelligence
- multiobjective evolutionary algorithm
- monte carlo sampling
- cost function
- efficient optimization
- probabilistic model
- benchmark problems
- pareto optimal
- bio inspired
- global optimization
- posterior distribution