While implementing genetic algorithm for finding the global minimum for a variable 'y' (which depends upon both x and z), I want to optimise only x and not z. I want to input z from the main code and pass it to my fitness function. Can this be done?

function y=myFitness(x,z) y=(z^2)*x(1)+ 4*x+ z*x(2)^5; end

Answer 1

[Alan Weiss]

See the documentation on passing extra parameters, and quite probably you would do well to see the documentation on writing scalar objective functions.

Alan Weiss

MATLAB mathematical toolbox documentation

[Geetika Bagga]

Thank you. I will be declaring them as global variables now. So the changes I make to these extra parameters inside the fitness function for my genetic algorithm will be reflected in the main function, right?

[Alan Weiss]

I am sorry that you didn't comprehend the documentation. It says not to use global variables. It says that you would be much better served by a line such as

 myFitness = @(x) (z^2)*x(1) + 4*x(2) + z*x(2)^5;

or by using nested functions.

Alan Weiss

MATLAB mathematical toolbox documentation