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Related Questions
- How do surrogate models balance accuracy and computational efficiency in high-dimensional optimization?
- What are the common methods for constructing surrogate models in high-dimensional optimization problems?
- How do surrogate models handle multiple local optima in high-dimensional optimization problems?
- Can surrogate models be used in conjunction with other optimization techniques, such as evolutionary algorithms?
- How do surrogate models scale with the dimensionality of the problem in high-dimensional optimization?
- What are some popular surrogate model types, such as neural networks or Gaussian processes, and their advantages and disadvantages?
- How can surrogate models be used for uncertainty quantification in high-dimensional optimization problems?
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