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The elitist (1+M) genetic algorithm follows, in expectation, the gradient of the loss function without explicit gradient calculation or averaging over loss evaluations, behaving as clipped gradient descent with anisotropic Gaussian white noise

Neural and Evolutionary Computing27 Jul 2026

http://arxiv.org/abs/2606.30619v1