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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

Setting the stopping condition

It is always a good idea to put a limit on the number of generations, to guarantee that the algorithm does not run forever. This gives us one stopping condition.

In addition, since we happen to know the best solution for the OneMax problem—a binary string with all 1s, and a fitness value equal to the length of the individual—we can use that as a second stopping condition.

Note that for a real-world problem, we typically don't have this kind of knowledge in advance.

If either of these conditions is met, that is, the number of generations reaches the limit or best solution is found, the genetic algorithm will stop.

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Publisher Resources

ISBN: 9781838557744