I like your first suggested interpretation - bounds are a known region
within which the minimum lies (otherwise IMO they belong as constraints).
The Matlab approach of clipping solutions to the bounds sounds pragmatic.
Did you want to have a go at implementing that in the addon?
On Thu, Oct 17, 2
Thanks Ric. Using a constraint function worked, but with noticeable
slowdown.
I was looking at the page describing the algorithm that was linked in the
description of the add on. Without trying to get into too much detail and
unless I am misunderstanding it, it seems like if you have an existing
s
No I don't think so. My vague memory is that because the generation of new
solutions is essentially done by generating differences between existing
legal solutions, the phenomena you describe should be unlikely.
A workaround (that wouldn't involve modifying the addon) would be to build
bounds check
When using deoptim I am getting solutions outside of the bounds I am
providing.
>From looking at the code it looks like new populations are generated within
the bounds but the evolution step doesn't ensure the boundary conditions.
Is that the intended behavior?
