Updated lines 488, 499, 502, 505 with: # Initialize the GWO algorithm with the provided parameters gwo = GWO(obj=obj, npart=npart, ndim=ndim, max_iter=max_iter, init=init, bounds=bounds)

app.py

@@ -492,17 +492,17 @@ def optimize(npart, ndim, max_iter):
     best_positions_npy = np.array(best_positions)
 
     # Calculate dispersion
-    dispersion = self.Dispersion()
+    dispersion = gwo.Dispersion()
     dispersion_text = f"Dispersion: {dispersion}"
 
     # Get the contour plot as a PIL Image
-    contour_plot = self.plot_contour_and_wolves(best_positions)
+    contour_plot = gwo.plot_contour_and_wolves(best_positions)
 
     # Plot the dispersion over time
-    dispersion_plot = self.plot_dispersion()
+    dispersion_plot = gwo.plot_dispersion()
 
     # Plot the dispersion heatmap
-    dispersion_heatmap_plot = self.plot_dispersion_heatmap(x_range=(-6,6), y_range=(-6,6))
+    dispersion_heatmap_plot = gwo.plot_dispersion_heatmap(x_range=(-6,6), y_range=(-6,6))
 
     # Load the best fitness and positions from .npy files
     best_fitness_npy = np.load('best_fitness.npy')