How to find a part of function value in Genetic Algorithm after each iteration cycle

Hello everyone,

I am doing optimization using genetic algorithm. In a nutshell, the fitness function consists of 3 terms, A and B are normal function terms whereas C is an additional penalty term.

function XYZ = Ackley(x)

XYZ = A + B + C

end

After applying GA parameters. The final code is below.. Where nit = number of iterations (I am running 30 iterations minimum)

for i=1:nit

[x,fval,exitflag,output,population,score] = GAcode(nvars,lb,ub,InitialPopulationRange_Data,PopulationSize_Data,EliteCount_Data,CrossoverFraction_Data,MaxGenerations_Data,FunctionTolerance_Data,ConstraintTolerance_Data);

ZH1(i,1)=fval;

ZH2(i,:)=x;

end

The code works perfectly fine for getting final function value 'fval' (XYZ) and unknowns 'x' after each iteration... Is it possible to get individual values of A,B and C as well after each iteration.?

Thanks for your help.

Answer 1

[Alan Weiss]

I think that you can write a Custom Output Function for Genetic Algorithm and use it to calculate what you want and store them in an array returned to the workspace. This probably will involve rewriting the objective function in the output function in a way that returns the values you want.

Alan Weiss

MATLAB mathematical toolbox documentation