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Hands-On Neuroevolution with Python
book

Hands-On Neuroevolution with Python

by Iaroslav Omelianenko
December 2019
Intermediate to advanced
368 pages
11h 10m
English
Packt Publishing
Content preview from Hands-On Neuroevolution with Python

Creation of co-evolving populations

In this experiment, we need to create two co-evolving populations of species with different initial genotype configurations to meet the phenotypic requirements of the produced species.

The phenotype of the maze solver has 11 input nodes to receive signals from the sensors and two output nodes to produce control signals. At the same time, the phenotype of the objective function candidate has one input node receiving the fixed value (0.5), which is converted into two output values that are used as the fitness function coefficients of the maze solver.

We start with a discussion of how to create the population of the objective function candidates.

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Publisher Resources

ISBN: 9781838824914