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Advertise features in README #13

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pka opened this issue Nov 5, 2017 · 1 comment
Open

Advertise features in README #13

pka opened this issue Nov 5, 2017 · 1 comment

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@pka
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pka commented Nov 5, 2017

Hi,
I'm doing my first experiments in the field of GAs. After looking at all crates matching "genetic", genevo looked to me as the most promising library. Great work!
For others doing the same evaluation, a list of features in the README would help a lot. And for a beginner like me, more documentation would be immensely helpful. Ideal would be an exerpt of OBI98 with included code examples. Maybe you would get the permission for copying parts of it (see FAQ)?
But anyway, this issue is mostly to thank you for your work!
Gruss, Pirmin

@haraldmaida
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haraldmaida commented Nov 6, 2017

Hi Primin,
Thanks a lot for taking the time to write this feedback. I'm by far not an expert on GAs. The apposite is the case. I mainly started this project to learn GA myself. During this journey of learning I found the references listed in the README being the most helpful ones. The maybe most important thing I had to learn is, that solving an optimisation problem with GA means experimenting with many different combinations of operators and tweaking the parameters for those operators.

I will look into improving the docs. For now if you choose a little toy example of a search problem think about what values shall be relevant for the fitness function and implement them as genome. Implement the fitness function and start experimenting with different operator combinations. If I can help you to get started with your own search problem, please let me know and I would be happy to help.
liebe Grüsse, Harald.

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