December 2019
Intermediate to advanced
368 pages
11h 10m
English
Content preview from Hands-On Neuroevolution with Python
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Genetic operators
Genetic operators are at the very heart of every evolutionary algorithm, and the performance of any neuroevolutionary algorithm depends on them. There are two major genetic operators: mutation and crossover (recombination).
In this chapter, you will learn about the basics of genetic algorithms and how they differ from conventional algorithms, which use error backpropagation-based methods for training the ANN.
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