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Related Questions
- What are the common strategies for modifying the acquisition function in Bayesian optimization to handle multi-objective optimization problems?
- How can the expected improvement (EI) or probability of improvement (PI) acquisition functions be adapted for multi-objective optimization?
- What is the role of Pareto optimality in multi-objective Bayesian optimization, and how can the acquisition function be designed to incorporate this concept?
- Can you explain the difference between multi-objective and multi-task Bayesian optimization, and how the acquisition function should be modified accordingly?
- How can the acquisition function be modified to handle constraints in multi-objective optimization problems?
- What are some popular multi-objective acquisition functions used in Bayesian optimization, such as the weighted sum, Pareto-based, and indicator-based methods?
- How can the acquisition function be designed to balance exploration and exploitation in multi-objective optimization problems?
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