Genetic Algorithim - f-count looks higher than expected
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Hello.
Using GA to solve a unconstrained function, shouldn't the f-count be lower than the pop size for each generation?
For example: pop_size = 10, so for the initial pop f-count=10, then for generation 1 f-count = 20 and so on, doing 10 evaluations for each generation, like the figure below:
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/192702/image.jpeg)
.
But as a GA, as we can see below, from the documentation
.
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/192703/image.gif)
.
if i have, for example 1 elite child, should this elite just be copied to the next generation, resulting in 9 f-counts instead of 10, for each generation?
Regards.
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