Refine the results by GA to true values

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I am currently using GA optimization toolbox.
My true values to generate my dataset is, say like [0.4 0.5 0.6],
after i run my simulation, it gives me [0.9, 3.5 0.2],
What to do in order to obtain the result near to my true values?
  2 个评论
Khoo
Khoo 2013-8-23
This is my constrained function file:
function [c,ceq]=nonlincon(z)
c=z(3)*exp(z(2)*(1-z(1)))-1;
ceq=[];
this is my main file
for iter=1:iterate
z=[0.3 0.5 0.4];
options=gaoptimset('TolFun',1.0000e- 008,'Display','iter','UseParallel','always','InitialPopulation',z);
h=@mptest;
contraint=@nonlincon;
est=ga(h,3,[],[],[],[],[0 0 0],[1.0 10.0 1.0],contraint,options);
sumest=sumest+est;
SE=(est-z).^2;
sumSE=sumSE+SE;
fprintf('Iteration= %1.0i\n',iter);
end
I am doing the monte carlo simulation. Is that possible to find the estimated parameters near the initial point?

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