good point. However, if the encoding/decoding methods can be defined
coordinate-wise differently or are even non-linear (I am not aware whether
they can be or not), I am not sure you can come up with a sufficiently
reasonable and comprehensible way to apply this transformation to sigma.
sigma is a scalar and positive, so it is a different object than the
encoding/decoding methods are operating on, right?
The interplay between sigma and an encoding is an unfortunately delicate
part in the user interface, but I don't really see a way to make it right
*and* look entirely obvious to the user.
On Mon, 07 Nov 2011 14:48:51 +0100, Luc Maisonobe (Created) (JIRA)
<j...@apache.org> wrote:
CMA-ES optimizer input sigma should not be normalized by user
-------------------------------------------------------------
Key: MATH-702
URL: https://issues.apache.org/jira/browse/MATH-702
Project: Commons Math
Issue Type: Bug
Affects Versions: 3.0
Reporter: Luc Maisonobe
Priority: Minor
Fix For: 3.0
I am trying to use CMA-ES optimizer with simple boundaries.
It seems the inputSigma parameter should be normalized as it is checked
against the [0 - 1] range in the checkParameters private method and as
its value defaults to 0.3 if not not set in the initializeCMA private
method.
I would have expected this value to be in the same units as the user
parameters and to be normalized as part of an internal processing step
instead of relying to the user doing this. I think the method need
normalized values internally, as per the encode/decode methods in the
inner class FitnessFunction suggest.
The optimizer should accept values in the same units as the other
parameters and use "encode" (or a similar function) to do the
normalization. This way, normalization is considered an internal
implementation detail.
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