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Huh? Who said it was a math problem? And pseudoscience? Most real world optimization problems are like this. Sometimes don't get gradient information or unlimited trials.

The point of the task is to reward methods that work efficiently with limited trials and domain information, rather than who can run hillclimbing on the biggest computer or hand tune the parameters the best.

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