| Re: Genetic algorithms and curve fitting [message #34608 is a reply to message #34521] |
Fri, 28 March 2003 08:10   |
Allard de Wit
Messages: 7
Registered: December 2002
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Junior Member |
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Rob Dimeo wrote:
> Hi,
>
> Over the past few years I have been writing IDL programs to analyze
> data by fitting to models using standard least-squares methods. The
> problems that we face here, however, sometimes are not amenable to the
> least-squares approach and, having multi-modal chi-squared surfaces,
> could benefit from a more robust global optimization. I have been
> working on a hybrid genetic algorithm/least squares function that
> appears to work "pretty well" for model fitting.
>
> Has anyone on this newsgroup you used GAs or GA hybrids for data
> fitting? I am seeking someone with whom I can "compare notes" and
> discuss what works well and what does not. I am happy to share this
> code with anyone (especially if you're interested in helping me
> improve it!)
>
> Many thanks in advance!
>
> Rob
> ----------------------
> Robert M. Dimeo, Ph.D.
> NIST Center for Neutron Research
> National Institute of Standards and Technology
> 100 Bureau Drive - Stop 8562 Gaithersburg, MD 20899-8562
> Telephone: (301) 975-8135 FAX: (301) 921-9847
>
> www.ncnr.nist.gov/staff/dimeo
Hi Rob,
I do not have an extensive knowledge of GA techniques but for the
relatively simple optimisation problems that I have used GA's for
I used a so-called micro-GA which worked pretty well. I implemented
the micro-GA in IDL code, you can find the code at
www.xs4all.nl/~ajwwag/
As it this GA was my first attempt to write something in IDL using
object-oriented programming, the programming style may be somewhat
clumsy, any comments on the code (errors/fixes) are welcome.
Maybe, it is usefull for you.
best regards,
Allard de Wit
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