December 2019
Intermediate to advanced
368 pages
11h 10m
English
Content preview from Hands-On Neuroevolution with Python
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Running the single-pole balancing experiment
You need to enter the directory containing the single_pole_experiment.py file and execute the following command:
$ python single_pole_experiment.py
Do not forget to activate the appropriate virtual environment with the following command:
conda activate single_pole_neat
During the execution of the Python script, the console will print the following output for each generation of the evolution:
****** Running generation 13 ****** Population's average fitness: 0.26673 stdev: 0.12027Best fitness: 0.70923 - size: (1, 2) - species 1 - id 2003Average adjusted fitness: 0.161Mean genetic distance 1.233, standard deviation 0.518Population of 150 members in 1 species: ID age size fitness adj fit stag ==== ...
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