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Genetic algorithms can scale to large search spaces because the slowdown is controlled by the effective rank of the Hessian (which can be far smaller than the number of parameters in neural networks) rather than the number of parameters

Neural and Evolutionary Computing27 Jul 2026

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