matlab optimization code not working

The following code is not working. I am not sure why. It doesn't run/create the figure.

% Define the functions
f1 = @(x1, x2) x1.^2 + x2.^2;
f2 = @(x1, x2) x2.^2 - 4*x1;
% Create a grid of values for x1 and x2
[x1, x2] = meshgrid(-5:0.1:5, -5:0.1:5);  % Adjust these values as needed
% Calculate the objective functions on the grid
F1 = f1(x1, x2);
F2 = f2(x1, x2);
% Weighted average method
weights = 0.1:0.1:0.9;  % Adjust these weights as needed
paretoFronts = zeros(length(weights), 2);
for i = 1:length(weights)
    w = weights(i);
    % Weighted sum of the objectives
     F = w*F1 + (1-w)*F2;
     [minF, idx] = min(F(:));
     paretoFronts(i, :) = [x1(idx), x2(idx)];
end
%plot Pareto frontiers
figure;
plot(paretoFronts(:,1), paretoFronts(:,2), 'o-');
xlabel('x1');
ylabel('x2');
title('Pareto Frontiers using Weighted Average Method');
grid on;

[Dyuman Joshi]

The code works, see the edit above.

[Torsten]

The result is correct: For arbitrary x1, x2 = 0 gives the pareto optimum for F(w).