December 2019
Intermediate to advanced
368 pages
11h 10m
English
Content preview from Hands-On Neuroevolution with Python
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DefaultGenome section
This section defines the configuration parameters that are used to create and maintain the genome, as implemented by the DefaultGenome class. This section includes the following parameters:
- activation_default: The name of the activation function to use in node genes.
- activation_mutate_rate: If the genome supports multiple activation functions (such as for the CPPN genome), then this is the probability of the mutation replacing the activation function of the current node with a new one that's been taken from the list of supported functions (see activation_options).
- activation_options: A space-separated list of the activation functions that can be used by node genes.
- aggregation_default: The name of the default aggregate ...
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