Created using Colaboratory

Author: adhishagc

Genetic_Algorithm_Assignment.ipynb

@@ -6,7 +6,9 @@
       "name": "Genetic Algorithm Assignment.ipynb",
       "version": "0.3.2",
       "provenance": [],
-      "collapsed_sections": [],
+      "collapsed_sections": [
+        "o45jFGcl_Rq_"
+      ],
       "include_colab_link": true
     },
     "kernelspec": {
@@ -395,32 +397,29 @@
       "source": [
         "#Rank Selection Function\n",
         "def rankSelection(chromosome,fitness,popSize):\n",
-        "  \n",
+        "  #Total integer value from 0 to population size \n",
         "  rankTotal = sum(x for x in range(0,popSize))\n",
-        "  #totRandom = random.uniform(0,rankTotal) #CREEPY Something is here\n",
+        "  \n",
+        "  #A random value inbetween 0 and above value\n",
         "  totRandom = random.uniform(0,1)*rankTotal\n",
+        "  \n",
+        "  #variable to store the accumilation of fitness values\n",
         "  tot=0\n",
+        "  #sorting the fitness dataframe having the lowest on the top and the highest in the bottom\n",
         "  fitness_sorted = fitness.sort_values(by=['fitness'])\n",
+        "  \n",
         "  for i in fitness_sorted.index:\n",
+        "    #accumilation of the fitness values till the accumilation is equal to the random total generated\n",
         "    tot += fitness_sorted.loc[i,'fitness']\n",
         "    if(tot>=totRandom):\n",
         "      global fifo_index\n",
         "      fifo_index = i\n",
-        "      return chromosome.loc[i,:],i\n",
-        " "
-      ],
-      "execution_count": 0,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "id": "wzHJF4CIoRMQ",
-        "colab_type": "code",
-        "colab": {}
-      },
-      "source": [
-        ""
+        "      \n",
+        "      #returning the chromosome(as a parent selected) and the respective value i where the accumilation stopped. \n",
+        "      selected_parent = chromosome.loc[i,:]\n",
+        "      selected_parent_id = i\n",
+        "      \n",
+        "      return selected_parent,selected_parent_id"
       ],
       "execution_count": 0,
       "outputs": []