Hands-On Neuroevolution with Python

Working environment setup

In this experiment, we use the MultiNEAT Python library, which provides the implementation of the ES-HyperNEAT algorithm. Thus, we need to create an appropriate Python environment, which includes the MultiNEAT Python library and all necessary dependencies. This can be done using Anaconda by executing the following commands on the command line:

$ conda create --name rt_multineat python=3.5$ conda activate vd_multineat$ conda install -c conda-forge multineat $ conda install matplotlib$ conda install -c anaconda seaborn$ conda install graphviz$ conda install python-graphviz

These commands create and activate the rt_multineat virtual environment with Python 3.5. After that, they install the MultiNEAT Python library with ...