Problem About Genetic Algorithm

Hello !

I have one RL circuit in SImulink, from this RL circuit I extracted the current and voltage signals ( as vectors) for 1 cycle, then I would like to implement a Genetic Algorithm that find the value of R and L .

So far my code simulate the reference case, then the GA set two random values of RL, then I simulate a test case with the R and L given by the GA, and extract the Vector of Voltage and current.

I'm having problems as I would like that my fitness function be the difference between The refence current and the Test current

When I use 'UseVectorized',true from the GA options, it says that the fitnes function should be the same size of the Pupulation.

What I want is that the fitness function be the difference of the two currents but so far this is my result

dt=0.02;
simulation(dt)
opt = optimoptions("ga",'PlotFcn',{@gaplotbestf},...
    'PopulationSize',25,...
    'Display','final',...
    'CreationFcn',@gacreationuniform,...
    'SelectionFcn',@selectionstochunif,...
    'EliteCount',3,...
    'CrossoverFraction',0.8,...
    'CrossoverFcn',@crossoverscattered,...
    'MutationFcn',@mutationadaptfeasible,...
    'FunctionTolerance',1e-12,...
    'MaxGeneration',200,...
    'UseVectorized',true); %%%%%
lb = [0.8,0.8];
hb = [1.2,1.2];

[Walter Roberson]

When you have 'UseVectorized', true then when your objective function is passed a 2D array, it must return a vector that has the same number of rows as the input had rows.

https://www.mathworks.com/help/gads/vectorizing-the-fitness-function.html