Problem concerning the fitness function of the genetic algorithm on MATLAB.

Hi everyone,

I need your help for this problem. The fitness function I am considering for my project is the error between two output signals of two simulink models and it has to be the smallest possibile. This is a piece of the code I wrote.

where iHF is a .mat file with dimension 2x50001, iLF is a normal output array with dimension 50001x1 and simulation.DT is the sampling time equal to 1e-5.

The formula to calculate the error is the following:

When I run the matlab code containing the optimization parameters, it gives me an error saying "Your fitness function must return a scalar value".

What should I do?

Answer 1

[Matt J]

Make y1 and y2 the same size and shape (i.e., make sure both are row vectors or both column vectors).

[Oma Leo]

it worked, thank you!