Rerun all examples.

Author: vrettasm

examples/binh_and_korn_multiobjective.ipynb

@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 7,
    "id": "eaaf5c05",
    "metadata": {},
    "outputs": [],
@@ -56,7 +56,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 8,
    "id": "d2ea5d6d",
    "metadata": {},
    "outputs": [],
@@ -65,7 +65,7 @@
     "from pygenalgo.genome.gene import Gene\n",
     "from pygenalgo.genome.chromosome import Chromosome\n",
     "from pygenalgo.engines.standard_ga import StandardGA\n",
-    "from pygenalgo.engines.auxiliary import cost_function\n",
+    "from pygenalgo.utils.utilities import cost_function\n",
     "\n",
     "# Import Selection Operator(s).\n",
     "from pygenalgo.operators.selection.linear_rank_selector import LinearRankSelector\n",
@@ -87,7 +87,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 9,
    "id": "4e87f0f4",
    "metadata": {},
    "outputs": [],
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 10,
    "id": "7d6d23cd",
    "metadata": {},
    "outputs": [],
@@ -162,18 +162,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 11,
    "id": "34385a87",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Initial Avg. Fitness = 24.9400\n",
-      "StandardGA finished in 15 iterations.\n",
-      "Final   Avg. Fitness = 44.0000\n",
-      "Elapsed time: 1.495 seconds.\n"
+      "Initial Avg. Fitness = 24.5400\n",
+      "StandardGA finished in 17 iterations.\n",
+      "Final   Avg. Fitness = 46.4000\n",
+      "Elapsed time: 1.608 seconds.\n"
      ]
     }
    ],
@@ -183,7 +183,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 12,
    "id": "a0d8d136",
    "metadata": {},
    "outputs": [
@@ -297,7 +297,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.10.18"
   }
  },
  "nbformat": 4,

examples/easom_in_parallel.ipynb

@@ -68,7 +68,7 @@
     "from pygenalgo.genome.gene import Gene\n",
     "from pygenalgo.genome.chromosome import Chromosome\n",
     "from pygenalgo.engines.standard_ga import StandardGA\n",
-    "from pygenalgo.engines.auxiliary import cost_function\n",
+    "from pygenalgo.utils.utilities import cost_function\n",
     "\n",
     "# Import Selection Operator(s).\n",
     "from pygenalgo.operators.selection.linear_rank_selector import LinearRankSelector\n",
@@ -188,9 +188,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Initial Avg. Fitness = -230.0413\n",
-      "Final   Avg. Fitness = -22.4369\n",
-      "Elapsed time: 18.977 seconds.\n"
+      "Initial Avg. Fitness = -152.7617\n",
+      "Final   Avg. Fitness = -27.7900\n",
+      "Elapsed time: 15.606 seconds.\n"
      ]
     }
    ],
@@ -208,10 +208,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Minimum Found: 0.00000\n",
+      "Minimum Found: 0.00060\n",
       "\n",
-      "x = 1.00030\n",
-      "y = 1.00070\n"
+      "x = 0.97543\n",
+      "y = 0.95154\n"
      ]
     }
    ],
@@ -266,7 +266,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.16"
+   "version": "3.10.18"
   }
  },
  "nbformat": 4,