3
$\begingroup$

I wonder, if there are other than NEAT approaches to evolving architectures and weights of artificial neural networks?

To be more specific: I am looking for projects/frameworks/libraries that use evolutionary/genetic algorithms to simultanousely evolve both topology and train weights of ANNs other than NEAT approach. By 'other' I mean similar to NEAT but not based entirely on NEAT. I hope to find different approaches to the same problem.

$\endgroup$

1 Answer 1

1
$\begingroup$

The Wikipedia article on neuroevolution contains a list of neuroevolution techniques (e.g. NEAT). I will list below the examples that evolve both the parameters and the topology of the neural network.

$\endgroup$
1
  • $\begingroup$ I would like to note that I am not familiar with any of these methods. This list is based on the info in the mentioned Wikipedia article. $\endgroup$
    – nbro
    Commented Jan 25, 2020 at 15:53

You must log in to answer this question.

Not the answer you're looking for? Browse other questions tagged .