[scilab-Users] Optimization procedure

[Michaël Baudin]

Hi,

Thank you for providing a feedback on this function. Moreover, as it 
seems to be working well, this is an even more good feeling.

I am not sure that I understand well enough your message about the 
"index" variable. I guess that you want the objective function to 
receive the iteration number as an input argument.  In the page :

help optimset

you will find the "Output and plot functions" section, which describes 
the optimValues input argument of the output function. The 
optimValues.iteration should correspond to your need.

In order to use an output function, see the example in the help of 
fminsearch - "Example with a customized output function":

function y = banana (x)
   y = 100*(x(2)-x(1)^2)^2 + (1-x(1))^2;
endfunction
function outfun ( x , optimValues , state )
   plot( x(1),x(2),'.');
endfunction
opt = optimset ( "OutputFcn" , outfun);
[x fval] = fminsearch ( banana , [-1.2 1] , opt );

Best regards,

Michaël Baudin

Le 30/11/2010 10:29, Carrico, Paul a écrit :
> Dear All
> In my first attempt to optimize parameters by linking Scilab to a FEA 
> code (this is a basic test with in a first step one parameter), I use 
> fminsearch function:  it *_works rather well until now !!!!_*
> In addition, it may be interesting to plot the curve test vs fea at 
> each iteration ...it has been done in a sub-function but only the 
> final figure remains since the previous ones are overwrited
> My question is :
> - from my understanding an "index" variable" corresponding to the 
> iteration number can not be introduced in the fminsearch function 
> (C10_optimized = fminsearch(optimization,C10)
> - is ther a trick on index the curves based on the ieteration 
> (internal) value ?
> Thanks in advance
> Regards
> Paul
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-- 
Michaël Baudin
Ingénieur de développement
michael.baudin at scilab.org
-------------------------
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Domaine de Voluceau - Rocquencourt
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