how to pass initial guess to ga(),this is my sample code and i want to initialize complex initial guess in the code please help
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[z, f] = ga(@objfun,2);
disp(z)
function f = objfun(X)
% Create complex value from real and imaginary
z = X(:, 1) + i*X(:, 2);
f = z.^2 - z + 1;
f = abs(f);
end
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Réponse acceptée
Walter Roberson
le 11 Mar 2024
In order to pass in an initial guess, you need to create an options structure and set
InitialPopulationMatrix specifies an initial population for the genetic algorithm. The default value is [], in which case ga uses the default CreationFcn to create an initial population. If you enter a nonempty array in the InitialPopulationMatrix, the array must have no more than PopulationSize rows, and exactly nvars columns, where nvars is the number of variables, the second input to ga or gamultiobj. If you have a partial initial population, meaning fewer than PopulationSize rows, then the genetic algorithm calls CreationFcn to generate the remaining individuals.
4 commentaires
Walter Roberson
le 12 Mar 2024
Modifié(e) : Walter Roberson
le 12 Mar 2024
initial=[1 2];
nvars=2;
opts=optimoptions('ga','InitialPopulationMatrix',initial,'PopulationSize',1);
[z, f] = ga(@objfun,nvars,[],[],[],[],[],[],[],opts);
disp(z)
function f = objfun(X)
% Create complex value from real and imaginary
z = X(:, 1) + i*X(:, 2);
f = z.^2 - z + 1;
f = abs(f);
end
A population as small as 1 is likely to cause problems.
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