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
40 views (last 30 days)
Show older comments
[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
0 Comments
Accepted Answer
Walter Roberson
on 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 Comments
Walter Roberson
on 12 Mar 2024
Edited: Walter Roberson
on 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.
More Answers (0)
See Also
Categories
Find more on Surrogate Optimization in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!