From: Polypus <polypus@...>
Date: 2006-09-17T12:07:43+09:00
Subject: Re: new genetic programming system for ruby

hi,

that's interesting, i'd be curious to see where you go
with it, keep me informed. 

yeah logic failures, well, there probably is no scale.
if there is a failure, bad, if there are none, good,
correct? 

in that case it might be good to just run on random
'genomes'. and halt on failure, or run all night and
record all failures. a single failure would probably
give you plenty to go on, w/o being further evolved.

regards,
_c


--- Vidar Hokstad <vidar@edgeio.com> wrote:

> 
> Christophe Mckeon wrote:
> > http://drp.rubyforge.org
> >
> > i'll be doing a presentation tonight in
> secondlife, read the recent post
> > titled Rubyists of Second Life Meeting,
> 09/07/2006.
> 
> When I first saw this, I was thinking that it would
> be fun to play with
> whenever I get time to look at evolutionary
> programming again, but it
> just hit me that there's another place where this
> project would be very
> useful:
> 
> Testing. I was just writing some code to generate
> sequences of test
> operations, and I remembered this project - using it
> to generate test
> scripts from a grammar seems to be  a good fit. The
> question would be
> what type of search algorithm to use, and if using a
> GA etc. what would
> make sense for a fitness function.
> 
> In the latter case, I guess it depends on the
> purpose of the testing:
> In the case of performance, using a fitness function
> that assigns
> higher fitness the lower the system performance
> would encourage test
> scripts that converge on patologically bad
> performing cases. In the
> case of logic failures, it may be tricky to assign a
> gradual scale of
> failures, and I'm not really sure if a GA would be a
> good search
> alogrithm for that case. 
> 
> Vidar
> 
> 
> 



	
	
		
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