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