diff --git a/results/images/linear_scalability_of_problem.png b/results/images/linear_scalability_of_problem.png
index 165c08360a8181de37e85d7ebe8ffe6664a6d63a..c09981353de4cf4cc20263bfaa291346af013a51 100644
Binary files a/results/images/linear_scalability_of_problem.png and b/results/images/linear_scalability_of_problem.png differ
diff --git a/results/result_exploitation.py b/results/result_exploitation.py
index 4994bd772a3c90b1ef5190fa49818862f5a95468..6fca76f554db5c37f143b27c7dc83a0c66bf0d5d 100644
--- a/results/result_exploitation.py
+++ b/results/result_exploitation.py
@@ -54,8 +54,8 @@ for i in nb_processes:
 ideal_times = [times[i]/nb_processes[i] for i in range(len(nb_processes))]
 plt.plot(nb_processes, times, '*-', label="Mesures")
 plt.plot(nb_processes, times, 'r--', label="Courbe idéale")
-plt.yscale("log")
-plt.xscale("log")
+plt.yscale('log', basey=2)
+plt.xscale('log', basex=2)
 plt.xlabel("Nombre de processus (1 processus par socket)")
 plt.ylabel("Temps d'exécution (s)")
 plt.title("Temps d'exécution de la routine d'optimisation\npour un problème 256*256*256 avec 10 générations de 64 fourmis.")