Joseph:
Genetic Algorithms would be an extremely inefficient method for
solving such a problem where the objective value is so easily measured
and the direct effects of the arguments of the objective function
(capacitance and inductance) are so easily determined. Wayne's
solution is rel
Toby:
Good point.
73,
Steve
AA4AK
At 04:10 PM 9/14/2005 +0200, Toby Deinhardt wrote:
As much as GAs are fun and very powerful, I do wonder about the amount of
time it might need using say a population of 50 and 100 generations.
Assuming 100ms for switching and mesurement -> 100ms * 50 * 100
As much as GAs are fun and very powerful, I do wonder about the amount
of time it might need using say a population of 50 and 100
generations. Assuming 100ms for switching and mesurement -> 100ms * 50
* 100 = 8Min 20Sec.
Not to mention the amount of memory needed. Most controllers do not
hav
Stephen Kercel's suggestion to use a Genetic Algoirthm is brilliant ...
this sounds like a perfect application for these astounding and amazing
techniques. I have had two passions in my life (at least, PG-rated) ...
ham radio and genetic algorithms ... own every book ever written on GA's
as well (
wayne burdick wrote:
It was a wonderful, hair-pulling, sleep-depriving, learning experience
that I wouldn't deny anyone by giving away the details ;)
Wayne, you're a sick, sick man... but we love you! :-)
--
"Nosey" Nick Waterman, Senior Sysadmin.
#include [EMAIL PROTECTED]
Santa is so
On Sep 13, 2005, at 11:08 PM, Vic K2VCO wrote:
I bet Wayne knows a good algorithm!
Indeed I do. And it took several weeks of serious R & D and coding the
first time we developed an ATU (KAT2).
Among other things, the code uses four tuning phases, each with
different granularities; time-ba
Instead of an exhaustive search, you might try a genetic algorithm.
73,
Steve
AA4AK
At 11:51 PM 9/13/2005 -0400, Mike WA8BXN wrote:
Don -
If you can easily tune the tuner by hand I always teach my
programming students to just watch themselves manually performing the task,
then write d
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