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Subject: Re: A curve fitting experiment with many chess evaluation parameters

Author: Gareth McCaughan

Date: 13:56:01 11/27/01

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On November 27, 2001 at 12:51:52, Dann Corbit wrote:

> Here is a post in the Winboard forum with some explanation:
> http://f11.parsimony.net/forum16635/messages/18447.htm

(Summary: Dann's optimizing F(parameters) = performance on a
bunch of test suite positions by taking 1-d slices through
parameter space parallel to the coordinate planes and looking
for a minimum along each slice.)

> There may be a sort of simulated annealing approach.  Clearly, the parameters
> may interact.  However, as I iterate through the parameters from one depth to
> the next, I keep the minimum calculated for the previous parameter.

Why don't you use a slightly more sophisticated optimization
algorithm? Say, the quadratically convergent algorithm of Powell
described in *ick* Numerical Recipes?

Cool experiment, anyway.

--
g



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