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Related Questions
- What are the key differences between surrogate models and traditional optimization methods in evolutionary algorithms?
- How do surrogate models handle uncertainty and noise in the optimization process?
- Can you explain the concept of 'surrogate-assisted optimization' and its applications in real-world problems?
- What are some common surrogate models used in evolutionary algorithms, such as polynomial chaos expansion or Gaussian processes?
- How do surrogate models adapt to changing problem landscapes or evolving objective functions?
- What are the challenges and limitations of using surrogate models in evolutionary algorithms, such as overfitting or model selection?
- Can you discuss the role of surrogate models in multi-objective optimization and many-objective optimization problems?
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