Towards co-evolution of fitness predictors and Deep Neural Networks · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/1801.00119/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTTowards co-evolution of fitness predictors and Deep Neural Networks — mentioned by pkoperekhttps://news.ycombinator.com/item?id=29328445urn:hackerpapers:mention:1801.00119:29328445Wed, 24 Nov 2021 09:52:54 GMT<p>Apart from NEAT/HyperNEAT there are also other approaches to neuroevolution (I think in this context it is referred to as &quot;Evolutionary Neural Architecture Search&quot; [0]). Evolution in general can be applied in different ways (e.g. optimizing the architecture, replacing training gradient descent etc.). A while ago I co-authored a paper in this space [1] and released some code for interested folks [2]. [0]: https://arxiv.org/pdf/2008.10937.pdf [1]: https://arxiv.org/abs/1801.00119 [2]: https://gitlab.com/pkoperek/pytorch-dnn-evolution/-/tree/mas...</p><p><a href="https://hackerpaper.kaipfister.de/p/1801.00119/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.NE