how to set a range for the fitness function that indicate how it increase in matlab

To set a range for the fitness function in MATLAB, you can use the FitnessScalingFactor property in the options structure of the optimization function.

Here's an example of how you can set a specific range for the fitness function:

main.m
% Define the fitness function
fitnessFunction = @(x) x^2;

% Create the options structure
options = optimoptions('ga', 'FitnessScalingFactor', 10);

% Call the genetic algorithm function
x = ga(fitnessFunction, nvars, options);
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In this example, the FitnessScalingFactor property is set to 10. This means that the fitness values will be multiplied by 10 during the optimization process. Consequently, the fitness will increase faster, and the optimization algorithm will prioritize solutions with higher fitness values.

Feel free to adjust the FitnessScalingFactor value to set the desired range for your fitness function.