Well if you want to go 11 dimensions/inputs then there's the 11-Multiplexer (http://www.gene-expression-programming.com/webpapers/Ferreira-CS2001/Section6/SS5/SSS2.htm). You could make it a ten input problem by, e.g. defining the 11th bit as always 1 or 0.
Not sure if this is the kind of function you were lookign for though.
<< a random sampling of the 2048 combinations was used each generation as the fitness cases for evaluating fitness. >>
My objective should be deterministic. I suppose I could uniformly average its performance on the 2048 possible inputs. But this probably gets too expensive.
Yeh the performance is poor and random sampling doesn't 'feel' nice. On a similar theme how about an inverted pyramid of 2 input XORs, with your 10 inputs at the top and a single output at the bottom.
I was going to do a mixture of truncated 10-D Gaussians... but it turned out to be more than a few minutes to program (my Matlab is surprisingly rusty after 3 months).
(no subject)
Date: 2009-03-21 11:15 am (UTC)Not sure if this is the kind of function you were lookign for though.
(no subject)
Date: 2009-03-21 04:50 pm (UTC)I wasn't expecting any "kind of function".
<< a random sampling of the 2048 combinations was used each generation as the fitness cases for evaluating fitness. >>
My objective should be deterministic. I suppose I could uniformly average its performance on the 2048 possible inputs. But this probably gets too expensive.
(no subject)
Date: 2009-03-21 06:04 pm (UTC)(no subject)
Date: 2009-03-21 12:47 pm (UTC)(no subject)
Date: 2009-03-21 04:42 pm (UTC)I was going to do a mixture of truncated 10-D Gaussians... but it turned out to be more than a few minutes to program (my Matlab is surprisingly rusty after 3 months).
(no subject)
Date: 2009-03-21 04:56 pm (UTC)