diff --git a/docs/source/example/moalg.ipynb b/docs/source/example/moalg.ipynb
index 106eeb1c..0bb00136 100644
--- a/docs/source/example/moalg.ipynb
+++ b/docs/source/example/moalg.ipynb
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -67,7 +67,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -89,23 +89,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "tensor(0.4746, device='cuda:0')\n",
-      "tensor(0.1650, device='cuda:0')\n",
-      "tensor(0.0902, device='cuda:0')\n",
-      "tensor(0.0653, device='cuda:0')\n",
-      "tensor(0.0586, device='cuda:0')\n",
-      "tensor(0.0564, device='cuda:0')\n",
-      "tensor(0.0559, device='cuda:0')\n",
-      "tensor(0.0551, device='cuda:0')\n",
+      "tensor(0.4481, device='cuda:0')\n",
+      "tensor(0.1465, device='cuda:0')\n",
+      "tensor(0.0854, device='cuda:0')\n",
+      "tensor(0.0647, device='cuda:0')\n",
+      "tensor(0.0592, device='cuda:0')\n",
+      "tensor(0.0574, device='cuda:0')\n",
+      "tensor(0.0562, device='cuda:0')\n",
+      "tensor(0.0553, device='cuda:0')\n",
+      "tensor(0.0550, device='cuda:0')\n",
       "tensor(0.0546, device='cuda:0')\n",
-      "tensor(0.0544, device='cuda:0')\n"
+      "tensor(0.0544, device='cuda:0')\n",
+      "tensor(0.0543, device='cuda:0')\n"
      ]
     }
    ],
@@ -117,7 +119,7 @@
     "        workflow.step()\n",
     "        fit = workflow.algorithm.fit\n",
     "        fit = fit[~torch.isnan(fit).any(dim=1)]\n",
-    "        if i % 10 == 0:\n",
+    "        if i % 9 == 0:\n",
     "          print(igd(fit, pf))"
    ]
   },