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Hands-On Genetic Algorithms with Python
book

Hands-On Genetic Algorithms with Python

by Eyal Wirsansky
January 2020
Intermediate to advanced
346 pages
9h 8m
English
Packt Publishing
Content preview from Hands-On Genetic Algorithms with Python

Population size and number of generations

We will start our experimentation by making modifications to the population size and the number of generations used by the genetic algorithm:

  1. The size of the population is determined by the POPULATION_SIZE constant. We will start by increasing the value of the constant from 200 to 400:
POPULATION_SIZE = 400

This modification accelerates the genetic flow, and the best solution is now found after 22 generations, as the following generated plot illustrates:

Stats of the program solving the OneMax problem, after increasing the population size to 400
  1. Next, we will try reducing the population size to ...
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Publisher Resources

ISBN: 9781838557744