R help - Feb 2011 - can I use the output of a neural network as the fitness function of genetic algorithm?

Hi Everyone,

 

I need to use genetic algorithm to find the minimum. The problem is,  I
cannot define the fitness function, but I can build a neural network from
the input data and use 

the output as a fitness function.   Can this be done?

 

The other problem is, I know there are a few package in R related to GA.
So far I know all of them take a specific function as fitness function,   is
there any package can

Solve my problem? Many thanks

 

Ying


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In SAS, you can output the parameter estimation related to fitness function,
I dont know  this in R.
Once you have output from SAS, you can write down your function and feed
them into optim in R  to solve your problem.



On Mon, Feb 7, 2011 at 5:00 AM, ying zhang <ying.zhang@struq.com> wrote:
> Hi Everyone,
>
>
>
> I need to use genetic algorithm to find the minimum. The problem is,  I
> cannot define the fitness function, but I can build a neural network from
> the input data and use
>
> the output as a fitness function.   Can this be done?
>
>
>
> The other problem is, I know there are a few package in R related to GA.
> So far I know all of them take a specific function as fitness function,
> is
> there any package can
>
> Solve my problem? Many thanks
>
>
>
> Ying
>
>
>        [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>


-- 
Sincerely,
Changbin
--

Changbin Du
DOE Joint Genome Institute
Bldg 400 Rm 457
2800 Mitchell Dr
Walnut Creet, CA 94598
Phone: 925-927-2856

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