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jakobbossek avatar jakobbossek commented on May 29, 2024

Let us revive this issue. In my opinion default parameters for evolutionary algorithms are not suited very well. I like the self-adaptive approaches. However, I am amenable for suggestions :-)

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berndbischl avatar berndbischl commented on May 29, 2024

Agreed. We can later test whether this improves the method.

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jakobbossek avatar jakobbossek commented on May 29, 2024

I think we can relegate to my ecr package soon.

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berndbischl avatar berndbischl commented on May 29, 2024

That would be great.

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jakobbossek avatar jakobbossek commented on May 29, 2024

Well, a default population size of 10 is quite small for >= 2D problems I guess. We could

  • increase the default, but this is not the best solution IMHO
  • set the default population size based on the number of parameters

I prefer the second approach.

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berndbischl avatar berndbischl commented on May 29, 2024

just do it and doc it

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jakobbossek avatar jakobbossek commented on May 29, 2024

See PR #154

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jakobbossek avatar jakobbossek commented on May 29, 2024

Done

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berndbischl avatar berndbischl commented on May 29, 2024

we can later deal with that as an ECR test case . with maybe self adaptation

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