Evolutionary optimization algorithms constitute a class of derivative-free techniques inspired by principles of natural selection and genetics, tailored to optimise continuous real-valued functions.
AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...
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