There is the watchmaker package. It seems to be a moderately complete package for traditional Holland style genetic algorithms but has not seen a lot of interest in the community and is probably not a super screaming fast implementation.
As far as neural networks are concerned, the guys who wrote Neuroph are talking about merging with Mahout. See https://issues.apache.org/jira/browse/MAHOUT-383 Somewhat related, we have a stochastic gradient descent implementation of logistic regression that is about to go out. You can view that as a single layer neural network and it should be reasonably easy to extend that code to full-scale neural networks. On Tue, Aug 3, 2010 at 8:08 PM, Saikat Kanjilal <[email protected]> wrote: > In reviewing the list of algorithms currently in mahout I didn't come > across neural network implementations or genetic algorithms, I was wondering > if anyone in the community is thinking about implementations in these areas > as related to solving problems in image processing related to Image > similarity or greedy algorithms that converge toward a singular solution.
