December 2019
Intermediate to advanced
368 pages
11h 10m
English
Content preview from Hands-On Neuroevolution with Python
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Crossover operator
The crossover (recombination) operator allows us to stochastically generate new generations (solutions) from existing populations by recombining genetic information from two parents to generate offspring. Thus, the portions of good solutions from parent organisms can be combined and can potentially lead to better offspring. Typically, after a crossover, the produced offspring are mutated before being added to the population of the next generation.
The following diagram shows the various crossover operators:
Types of crossover operators
The different types of crossover operators also depend on the genetic encoding that's ...
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