Answers.Body: <p>The <a href="https://en.wikipedia.org/wiki/Neuroevolution" rel="nofollow noreferrer">Wikipedia article on neuroevolution</a> 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.</p>
  
  <ul>
  <li><a href="https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.29.5939&amp;rep=rep1&amp;type=pdf" rel="nofollow noreferrer">Cellular encoding</a> (1994)</li>
  <li><a href="http://demo.cs.brandeis.edu/papers/ieeenn.pdf" rel="nofollow noreferrer">GNARL</a> (1994)</li>
  <li><a href="https://www.cs.bham.ac.uk/~axk/evoNN2.pdf" rel="nofollow noreferrer">EPNet</a> (1997)</li>
  <li><a href="https://www.researchgate.net/publication/220516089_Evolutionary_reinforcement_learning_of_artificial_neural_networks" rel="nofollow noreferrer">Evolutionary acquisition of neural topologies</a> (2007)</li>
  <li><a href="https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2012101710370" rel="nofollow noreferrer">Interactively constrained neuro-evolution</a> (2012)</li>
  <li><a href="https://arxiv.org/pdf/1111.5892.pdf" rel="nofollow noreferrer">Deus ex neural network</a> (2012)</li>
  <li><a href="https://arxiv.org/pdf/1902.06703.pdf" rel="nofollow noreferrer">Spectrum-diverse unified neuroevolution architecture</a> (2017)</li>
  <li><a href="http://eprints.bournemouth.ac.uk/26161/7/HAGA_SWEVO.pdf" rel="nofollow noreferrer">Covariance matrix adaptation with hypervolume sorted adaptive grid algorithm</a> (2017)</li>
  </ul>
  
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Answers.Text: 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.
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Body: <p>I wonder, if there are other than NEAT approaches to evolving architectures and weights of artificial neural networks?</p>
  
  <p>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.</p>
  
Tags: <neural-networks><training><genetic-algorithms><evolutionary-algorithms><neuroevolution>
Title: What are evolutionary algorithms for topology and weights evolving of ANN (TWEANN) other than NEAT?
UserDisplayName: GKozinski
ThreadText: # What are evolutionary algorithms for topology and weights evolving of ANN (TWEANN) other than NEAT?
  
  (Asked by: username_0 on 2020-01-21)
  
  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.
  
  **Tags:** neural-networks, training, genetic-algorithms, evolutionary-algorithms, neuroevolution
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2020-01-25. Score: 1 | Accepted answer
  
  The [Wikipedia article on neuroevolution](https://en.wikipedia.org/wiki/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.
  
  * [Cellular encoding](https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.29.5939&rep=rep1&type=pdf) (1994)
  * [GNARL](http://demo.cs.brandeis.edu/papers/ieeenn.pdf) (1994)
  * [EPNet](https://www.cs.bham.ac.uk/~axk/evoNN2.pdf) (1997)
  * [Evolutionary acquisition of neural topologies](https://www.researchgate.net/publication/220516089_Evolutionary_reinforcement_learning_of_artificial_neural_networks) (2007)
  * [Interactively constrained neuro-evolution](https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2012101710370) (2012)
  * [Deus ex neural network](https://arxiv.org/pdf/1111.5892.pdf) (2012)
  * [Spectrum-diverse unified neuroevolution architecture](https://arxiv.org/pdf/1902.06703.pdf) (2017)
  * [Covariance matrix adaptation with hypervolume sorted adaptive grid algorithm](http://eprints.bournemouth.ac.uk/26161/7/HAGA_SWEVO.pdf) (2017)
  
  > **Comments:**
  > **username_1**: 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.  
  
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