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Genetic algorithms and curve fitting [message #34521]

Thu, 27 March 2003 13:26

robert.dimeo
Messages: 42
Registered: November 2001

Member

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

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[Message index]

		Genetic algorithms and curve fitting By: robert.dimeo on Thu, 27 March 2003 13:26
		Re: Genetic algorithms and curve fitting By: Allard de Wit on Fri, 28 March 2003 08:10
		Re: Genetic algorithms and curve fitting By: pford on Wed, 23 April 2003 11:57

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