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?

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

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Alan Weiss 2016-11-22

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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

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Geetika Bagga 2016-11-23

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 2016-11-23

在 MATLAB Online 中打开

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

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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?

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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?

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