Surrogate modeling approaches are techniques used to create simplified models that approximate complex functions or processes, often used in optimization tasks where direct evaluation is computationally expensive. These models serve as stand-ins or 'surrogates' for more complex simulations, allowing researchers to explore design spaces efficiently. They play a critical role in optimizing actuator placement and properties by enabling rapid evaluations of different configurations without the need for full-scale simulations each time.
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