Abstract: In this paper, we evaluate the applicability of genetic programming (GP) for the evolution of distributed algorithms. We carry out a large-scale experimental study in which we tackle three ...

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The common goal is the design of optimal algorithms that are guaranteed to avoid large intermediate results and thus achieve time or space complexity close to a lower bound. Arguably, avoiding query ...

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The system, known as AlphaEvolve, is based on the company's Gemini large language models (LLMs), with the addition of an "evolutionary" approach that evaluates and improves algorithms across a ...