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ATLAS outperforms several state-of-the-art component-synthesis methods while remaining competitive with strong human-designed algorithms

Across four NP-hard problems, ATLAS outperforms several state-of-the-art component-synthesis methods and a matched full-synthesis baseline while remaining competitive with strong human-designed algorithms.
Neural and Evolutionary Computing28 Aug 2026

http://arxiv.org/abs/2608.15546v2