A Parallel Technique for Multi-objective Bayesian Global Optimization: Using a Batch Selection of Probability of Improvement.
Kaifeng YangGuozhi DongMichael AffenzellerPublished in: CoRR (2022)
Keyphrases
- global optimization
- multi objective
- particle swarm optimization
- multi objective optimization
- evolutionary algorithm
- pso algorithm
- genetic algorithm
- posterior probability
- optimization algorithm
- ant colony algorithm
- objective function
- multiple objectives
- global solution
- evolutionary programming
- global search
- nsga ii
- constrained global optimization
- particle swarm optimization pso
- differential evolution
- probability distribution
- particle swarm
- convergence speed
- fitness function
- image completion
- global optima
- inverse problems
- search engine
- neural network
- binary particle swarm optimization
- multi objective optimization problems
- particle swarm optimisation
- active learning
- search capabilities
- prior probabilities
- metaheuristic
- particle swarm optimization algorithm
- posterior distribution