🚀 go-pugleaf

In article <1992Sep2.102320.3857@desire.wright.edu> jbatka@desire.wright.edu writes:

>My general concept involves assigning weighted values to a parameter.
>In this case say the parameter is your spacecrafts optimal engagement
>range to an opponent.  The parameter would have some equation describing
>average damage received / average damage given versus range.  The
>CCP would try to minimize this parameter.  The weighting would be a
>addition or subtraction to the range value.  I would give the CCP
>equations similar to the one above for other parameters too.  In this
>way I would have a string of weighted values (e.g. 10, 1, .1, 100, etc).
>this would be my gene string for the GA.
>

But can the CCP invent new genes all by itself?  I think that's the
essence of GA.  If you only have a pre-set number of parameter for
the CCP to determine which combination of settings is best, then it
sounds more like an optimation scheme than a GA.

-- Peter