December 2019
Intermediate to advanced
368 pages
11h 10m
English
Content preview from Hands-On Neuroevolution with Python
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Hyperparameter selection
In the NEAT section of the configuration file, we define the population of organisms set to 
individuals, and the fitness threshold with a value of 1.0 as a termination criterion.
The fitness_criterion is set to max, which means that the evolutionary process terminates when any individual reaches a fitness score equal to the fitness_threshold value:
[NEAT]fitness_criterion = maxfitness_threshold = 1.0pop_size = 150reset_on_extinction = False
Also, we significantly decreased the probability of adding the new node to bias the evolutionary process into elaborating more on the connectivity patterns with a minimal number ...
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