What are evolutionary algorithms for topology and weights evolving of ANN (TWEANN) other than NEAT?

Question

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.

Answer 1

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.

• Cellular encoding (1994)
• GNARL (1994)
• EPNet (1997)
• Evolutionary acquisition of neural topologies (2007)
• Interactively constrained neuro-evolution (2012)
• Deus ex neural network (2012)
• Spectrum-diverse unified neuroevolution architecture (2017)
• Covariance matrix adaptation with hypervolume sorted adaptive grid algorithm (2017)