A parallel technique for multi-objective Bayesian global optimization: Using a batch selection of probability of improvement

Keyphrases

• Acquisition Function 14%
• Approximation Algorithms 14%
• Assist Techniques 14%
• Batch Selection 100%
• Computational Formula 14%
• Covariance 14%
• Dependent Behavior 14%
• Execution Time 14%
• Expensive Objective Function 14%
• Global Optimization Algorithm 14%
• High-dimensional Problems 14%
• Monte Carlo Approximation 14%
• Multi-objective Bayesian Optimization 100%
• Multiple Solutions 14%
• Parallel Technique 100%
• Pareto Front 28%
• Position-dependent 14%
• Probability of Improvement 100%
• Single Point 14%
• Surrogate-assisted 14%

Computer Science

• Approximation Algorithms 25%
• Dependent Behavior 25%
• Dimensional Problem 50%
• Effective Approach 25%
• Execution Time 25%
• Global Optimization 100%
• Multiobjective 100%
• Objective Function 25%
• Straightforward Approach 25%

Engineering

• Dependent Behavior 33%
• Dimensional Problem 66%
• Execution Time 33%
• Multiple Point 100%
• Objective Function 33%
• Pareto Front 66%