It's a Bernoulli noise. define f (x) = 1/ (1 + e(-r(x)) ) and the objective function at x is 1 with probability f(x). So the expected value at x is f(x), but the values you get are noisy.
Best regards, Olivier > Since the functions are not noise-free, they should be defined in terms >> of some noise. I really need the definition of the noise for comparison >> between CLOP and other optimizers. >> >> I have downloaded the source codes, but I cannot find the codes related >> to the noise currently. >> >>
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