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Related Questions
- What are some common techniques used to optimize surrogate models for reducing the number of expensive objective function evaluations?
- How can the accuracy of surrogate models be improved to reduce the number of evaluations of the expensive objective function?
- What is the role of hyperparameter tuning in optimizing surrogate models for expensive objective functions?
- Can you explain the concept of meta-modeling and its application in reducing the number of expensive objective function evaluations?
- How can the use of ensemble methods be leveraged to improve the accuracy of surrogate models for expensive objective functions?
- What are some strategies for selecting the most informative points to evaluate the expensive objective function and update the surrogate model?
- Can you discuss the trade-off between the accuracy of the surrogate model and the number of expensive objective function evaluations required to achieve that accuracy?
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