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Already Moderate Population Sizes Provably Yield Strong Robustness to Noise
The only previous result in this direction regarded the less realistic one-bit noise model, required a population size super-linear in the problem size, and proved a runtime guarantee roughly cubic in the noiseless runtime for the OneMax benchmark.
Larger Offspring Populations Help the $(1 + (λ, λ))$ Genetic Algorithm to Overcome the Noise
Evolutionary algorithms are known to be robust to noise in the evaluation of the fitness.
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