how to change the range of the fitness function at each generation and plot fitness function as y-axes and genration number as x-axes in matlab

To change the range of the fitness function at each generation and plot the fitness function on the y-axis and generation number on the x-axis in MATLAB, you can follow these steps:

Define your fitness function as a function handle in MATLAB. For example:


main.m
fitness_function = @(x) x^2;
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Create a loop to iterate through each generation. Within each iteration, update the range of the fitness function as desired. For example:


main.m
generations = 10;
fitness_range = [0, 10];

for generation = 1:generations
    range_min = fitness_range(1) + (generation-1)*2;
    range_max = fitness_range(2) + (generation-1)*2;
    
    fitness_function = @(x) (x^2) * (range_max-range_min) + range_min;
    
    % Further processing for the current generation
end
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Note: In the example above, I've used a linear increase in the fitness range with each generation. You can adjust the formulas according to your requirements.

Within the loop, calculate the fitness values for each individual in the current generation using the updated fitness function range. Store the fitness values in a variable or an array for later use.
After the loop, plot the fitness values against the generation number using the plot function. For example:


main.m
plot(1:generations, fitness_values);
xlabel('Generation Number');
ylabel('Fitness Value');
title('Fitness Function over Generations');
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Make sure to replace fitness_values with the actual variable or array containing the fitness values.

Overall, your code would look something like this:


main.m
fitness_function = @(x) x^2;
generations = 10;
fitness_range = [0, 10];
fitness_values = zeros(1, generations);

for generation = 1:generations
    range_min = fitness_range(1) + (generation-1)*2;
    range_max = fitness_range(2) + (generation-1)*2;
    
    fitness_function = @(x) (x^2) * (range_max-range_min) + range_min;
    
    % Calculate fitness values for current generation
    
    fitness_values(generation) = ...; % Store the fitness values
    
    % Further processing for the current generation
end

plot(1:generations, fitness_values);
xlabel('Generation Number');
ylabel('Fitness Value');
title('Fitness Function over Generations');
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