Evaluation is performed on any individual whose "evaluated" flag is  
false.  So you could go through all of the population after breeding  
and set 'em all to false.  That's ugly though.  The right thing should  
have been for that feature to be in SimpleBreeder all along.

I've committed a new version of SimpleBreeder which, in my delerious  
state, appears like it SHOULD work, but is utterly untested.  I'm  
attaching it here.  It's your job to test it.  :-)







It's got a new parameter which you can set to specify whether a given  
subpopulation's elites should be reevaluated or not.  When it sees  
that it flags them as not evaluated when they're cloned into the new  
subpopulation.  Let me know if it appears to be working.

Sean


On Jan 28, 2010, at 12:09 AM, Vlad Palnik wrote:

> Hi all,
>
> I am looking for the code that bypasses the reevaluation of elites.  
> The individuals in my problem set are evaluated using a different  
> data set at each generation. I would like to force the reevaluation  
> of elites and assign new fitness values relevant to the specific  
> data set. I've been trying to find the code responsible, but no luck  
> so far, SimpleBreeder does not reference evaluated, and I have tried  
> to bypass fitness.clone() in Individual during elite cloning with no  
> results. Does anyone have any ideas???
>
> Vlad