how to plot fitness function changes over each generation in minimizing genetic algorithm in matlab

To plot the fitness function changes over each generation in a minimizing genetic algorithm in MATLAB, you need to collect the fitness values at each generation and then plot them.

Assuming you have a vector fitnessValues that stores the fitness values at each generation, you can use the plot function in MATLAB to create a line plot of the fitness values versus generation number.

Here's an example code snippet:

main.m
% Assuming you have a minimizing genetic algorithm implemented
% and fitnessValues stores the fitness values at each generation

% Plotting the fitness function changes over each generation
generation = 1:length(fitnessValues); % Generate a vector of generation numbers
plot(generation, fitnessValues);
xlabel('Generation');
ylabel('Fitness Value');
title('Fitness Function Changes over Each Generation');
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In this code, the generation vector represents the x-axis values (generation numbers) and fitnessValues represent the y-axis values (fitness values). The plot function is then used to create the line plot.

Make sure to replace fitnessValues with the correct variable name that stores the fitness values in your implementation. You can also customize the plot by modifying the labels and title according to your preference.

Remember to have the MATLAB figure or plot window accessible to see the plot.