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| fd8b462b01 |
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "0c5af2a3",
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"metadata": {},
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"source": [
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"## Лабораторная 10\n",
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"Датасет: Knapsack Problem Data (https://www.kaggle.com/datasets/warcoder/knapsack-problem)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "b54c40b4",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
|
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"<style scoped>\n",
|
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" .dataframe tbody tr th:only-of-type {\n",
|
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" vertical-align: middle;\n",
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" }\n",
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"\n",
|
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
|
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
|
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Weights</th>\n",
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" <th>Prices</th>\n",
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" <th>Capacity</th>\n",
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" <th>Best picks</th>\n",
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" <th>Best price</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>[46 40 42 38 10]</td>\n",
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" <td>[12 19 19 15 8]</td>\n",
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" <td>40</td>\n",
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" <td>[0. 1. 0. 0. 0.]</td>\n",
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" <td>19.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>[11 31 4 6 7]</td>\n",
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" <td>[ 2 8 18 16 3]</td>\n",
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" <td>64</td>\n",
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" <td>[1. 1. 1. 1. 1.]</td>\n",
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" <td>47.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>[32 49 27 37 24]</td>\n",
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" <td>[19 16 16 4 1]</td>\n",
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" <td>87</td>\n",
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" <td>[1. 0. 1. 0. 1.]</td>\n",
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" <td>36.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>[20 35 22 23 16]</td>\n",
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" <td>[19 17 19 9 1]</td>\n",
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" <td>21</td>\n",
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" <td>[1. 0. 0. 0. 0.]</td>\n",
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" <td>19.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>[ 7 12 19 13 20]</td>\n",
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" <td>[10 11 18 15 5]</td>\n",
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" <td>50</td>\n",
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" <td>[0. 1. 1. 1. 0.]</td>\n",
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" <td>44.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9995</th>\n",
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" <td>[18 12 11 49 32]</td>\n",
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" <td>[12 3 17 19 7]</td>\n",
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" <td>41</td>\n",
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" <td>[1. 1. 1. 0. 0.]</td>\n",
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" <td>32.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9996</th>\n",
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" <td>[20 2 24 7 7]</td>\n",
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" <td>[17 12 4 3 8]</td>\n",
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" <td>17</td>\n",
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" <td>[0. 1. 0. 1. 1.]</td>\n",
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" <td>23.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9997</th>\n",
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" <td>[43 43 5 15 23]</td>\n",
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" <td>[15 5 7 2 7]</td>\n",
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" <td>62</td>\n",
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" <td>[1. 0. 1. 0. 0.]</td>\n",
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" <td>22.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9998</th>\n",
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" <td>[49 9 15 21 39]</td>\n",
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" <td>[11 15 3 12 19]</td>\n",
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" <td>65</td>\n",
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" <td>[0. 1. 1. 0. 1.]</td>\n",
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" <td>37.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9999</th>\n",
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" <td>[25 36 42 19 39]</td>\n",
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" <td>[15 12 7 18 12]</td>\n",
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" <td>79</td>\n",
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" <td>[1. 0. 0. 1. 0.]</td>\n",
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" <td>33.0</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>10000 rows × 5 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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" Weights Prices Capacity Best picks \\\n",
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"0 [46 40 42 38 10] [12 19 19 15 8] 40 [0. 1. 0. 0. 0.] \n",
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"1 [11 31 4 6 7] [ 2 8 18 16 3] 64 [1. 1. 1. 1. 1.] \n",
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"2 [32 49 27 37 24] [19 16 16 4 1] 87 [1. 0. 1. 0. 1.] \n",
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"3 [20 35 22 23 16] [19 17 19 9 1] 21 [1. 0. 0. 0. 0.] \n",
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"4 [ 7 12 19 13 20] [10 11 18 15 5] 50 [0. 1. 1. 1. 0.] \n",
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"... ... ... ... ... \n",
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"9995 [18 12 11 49 32] [12 3 17 19 7] 41 [1. 1. 1. 0. 0.] \n",
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"9996 [20 2 24 7 7] [17 12 4 3 8] 17 [0. 1. 0. 1. 1.] \n",
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"9997 [43 43 5 15 23] [15 5 7 2 7] 62 [1. 0. 1. 0. 0.] \n",
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"9998 [49 9 15 21 39] [11 15 3 12 19] 65 [0. 1. 1. 0. 1.] \n",
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"9999 [25 36 42 19 39] [15 12 7 18 12] 79 [1. 0. 0. 1. 0.] \n",
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"\n",
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" Best price \n",
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"0 19.0 \n",
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"1 47.0 \n",
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"2 36.0 \n",
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"3 19.0 \n",
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"4 44.0 \n",
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"... ... \n",
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"9995 32.0 \n",
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"9996 23.0 \n",
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"9997 22.0 \n",
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"9998 37.0 \n",
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"9999 33.0 \n",
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"\n",
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"[10000 rows x 5 columns]"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import pandas as pd\n",
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"\n",
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"df = pd.read_csv(\".//static//csv//knapsack_5_items.csv\")\n",
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"\n",
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"df"
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]
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},
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{
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"cell_type": "markdown",
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"id": "44d383ce",
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"metadata": {},
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"source": [
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"Хромосома - набор 0 и 1, 1 - предмет выбран, 0 - не выбран.\n",
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"Ген - одно значение в хромосоме."
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]
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},
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{
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"cell_type": "markdown",
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||||
"id": "5b9bb0e1",
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||||
"metadata": {},
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||||
"source": [
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||||
"Функция генерации начальной популяции"
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]
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||||
},
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||||
{
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||||
"cell_type": "code",
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||||
"execution_count": 4,
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"id": "de8b8b81",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[[0, 0, 1, 1, 1],\n",
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" [1, 0, 0, 1, 1],\n",
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" [0, 1, 1, 1, 0],\n",
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" [1, 1, 0, 1, 1],\n",
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" [0, 0, 0, 0, 1],\n",
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" [0, 1, 0, 1, 1],\n",
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" [1, 1, 0, 0, 1],\n",
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" [1, 0, 1, 1, 1],\n",
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" [1, 0, 0, 0, 0],\n",
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" [1, 0, 1, 1, 0]]"
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]
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},
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||||
"execution_count": 4,
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"metadata": {},
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||||
"output_type": "execute_result"
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||||
}
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],
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"source": [
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"import random\n",
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"\n",
|
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"def create_individual(length):\n",
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" individual = []\n",
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" for _ in range(length):\n",
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" individual.append(random.randint(0, 1))\n",
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" return individual\n",
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"\n",
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"def create_population(length, size):\n",
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" population = []\n",
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" for _ in range(size):\n",
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||||
" population.append(create_individual(length))\n",
|
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" return population\n",
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"\n",
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"create_population(5, 10)"
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]
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},
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{
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||||
"cell_type": "markdown",
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"id": "f27534fb",
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||||
"metadata": {},
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||||
"source": [
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||||
"Фитнес-функция"
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]
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||||
},
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||||
{
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||||
"cell_type": "code",
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||||
"execution_count": 5,
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||||
"id": "da1c3553",
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"metadata": {},
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||||
"outputs": [
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{
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"data": {
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"text/plain": [
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"44"
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]
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||||
},
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"execution_count": 5,
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||||
"metadata": {},
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||||
"output_type": "execute_result"
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}
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],
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"source": [
|
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"def evaluate_fitness(individual, weights, prices, capacity):\n",
|
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" total_value = 0\n",
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" total_weight = 0\n",
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" \n",
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" for selected, weight, price in zip(individual, weights, prices):\n",
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" if selected:\n",
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" total_value += price\n",
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" total_weight += weight\n",
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" \n",
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" if total_weight > capacity:\n",
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" return 0\n",
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" return total_value\n",
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"\n",
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"evaluate_fitness([0, 1, 1, 1, 0], [7, 12, 19, 13, 20], [10, 11, 18, 15, 5], 50)"
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]
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},
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||||
{
|
||||
"cell_type": "markdown",
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||||
"id": "c9ef1b7b",
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||||
"metadata": {},
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||||
"source": [
|
||||
"Оператор кроссинговера"
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||||
]
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||||
},
|
||||
{
|
||||
"cell_type": "code",
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||||
"execution_count": 6,
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"id": "37486d57",
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||||
"metadata": {},
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||||
"outputs": [
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{
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"data": {
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"text/plain": [
|
||||
"([0, 1, 1, 0, 0], [1, 0, 1, 1, 0])"
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]
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||||
},
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||||
"execution_count": 6,
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||||
"metadata": {},
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||||
"output_type": "execute_result"
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||||
}
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||||
],
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||||
"source": [
|
||||
"def crossover(parent1, parent2):\n",
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" point = random.randint(1, len(parent1) - 1)\n",
|
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" return (parent1[:point] + parent2[point:], parent2[:point] + parent1[point:])\n",
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"\n",
|
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"crossover([0, 1, 1, 1, 0], [1, 0, 1, 0, 0])"
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]
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},
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{
|
||||
"cell_type": "markdown",
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"id": "87c1a74a",
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||||
"metadata": {},
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||||
"source": [
|
||||
"Операторы мутации"
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]
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},
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{
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"cell_type": "code",
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||||
"execution_count": 7,
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"id": "95d1068f",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"До мутации: [0, 1, 1, 1, 0]\n",
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"После побитовой мутации: [1, 1, 0, 1, 0]\n",
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"После свапа генов: [1, 0, 1, 1, 0]\n"
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]
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}
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],
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"source": [
|
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"import random\n",
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"\n",
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"def mutate_flip_bits(individual, mutation_rate):\n",
|
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" for i in range(len(individual)):\n",
|
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" chance = random.random()\n",
|
||||
" if chance < mutation_rate:\n",
|
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" individual[i] = 1 - individual[i]\n",
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"\n",
|
||||
"def mutate_swap_genes(individual, mutation_rate):\n",
|
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" chance = random.random()\n",
|
||||
" if chance < mutation_rate and len(individual) >= 2:\n",
|
||||
" i, j = random.sample(range(len(individual)), 2)\n",
|
||||
" individual[i], individual[j] = individual[j], individual[i]\n",
|
||||
"\n",
|
||||
"individual = [0, 1, 1, 1, 0]\n",
|
||||
"print(\"До мутации:\", individual)\n",
|
||||
"\n",
|
||||
"mutate_flip_bits(individual, 0.5)\n",
|
||||
"print(\"После побитовой мутации:\", individual)\n",
|
||||
"\n",
|
||||
"mutate_swap_genes(individual, 1)\n",
|
||||
"print(\"После свапа генов:\", individual)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "5d2d9f69",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Реализация генетического алгоритма и его применение"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
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||||
"id": "3f4d52de",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<div>\n",
|
||||
"<style scoped>\n",
|
||||
" .dataframe tbody tr th:only-of-type {\n",
|
||||
" vertical-align: middle;\n",
|
||||
" }\n",
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||||
"\n",
|
||||
" .dataframe tbody tr th {\n",
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||||
" vertical-align: top;\n",
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" }\n",
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||||
"\n",
|
||||
" .dataframe thead th {\n",
|
||||
" text-align: right;\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
||||
"<table border=\"1\" class=\"dataframe\">\n",
|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th></th>\n",
|
||||
" <th>Weights</th>\n",
|
||||
" <th>Prices</th>\n",
|
||||
" <th>Capacity</th>\n",
|
||||
" <th>Best picks</th>\n",
|
||||
" <th>Best price</th>\n",
|
||||
" <th>algorithmPicks</th>\n",
|
||||
" <th>algorithmPrice</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>[46 40 42 38 10]</td>\n",
|
||||
" <td>[12 19 19 15 8]</td>\n",
|
||||
" <td>40</td>\n",
|
||||
" <td>[0. 1. 0. 0. 0.]</td>\n",
|
||||
" <td>19.0</td>\n",
|
||||
" <td>[0, 1, 0, 0, 0]</td>\n",
|
||||
" <td>19</td>\n",
|
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" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>[11 31 4 6 7]</td>\n",
|
||||
" <td>[ 2 8 18 16 3]</td>\n",
|
||||
" <td>64</td>\n",
|
||||
" <td>[1. 1. 1. 1. 1.]</td>\n",
|
||||
" <td>47.0</td>\n",
|
||||
" <td>[1, 1, 1, 1, 1]</td>\n",
|
||||
" <td>47</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>[32 49 27 37 24]</td>\n",
|
||||
" <td>[19 16 16 4 1]</td>\n",
|
||||
" <td>87</td>\n",
|
||||
" <td>[1. 0. 1. 0. 1.]</td>\n",
|
||||
" <td>36.0</td>\n",
|
||||
" <td>[1, 0, 1, 0, 1]</td>\n",
|
||||
" <td>36</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>[20 35 22 23 16]</td>\n",
|
||||
" <td>[19 17 19 9 1]</td>\n",
|
||||
" <td>21</td>\n",
|
||||
" <td>[1. 0. 0. 0. 0.]</td>\n",
|
||||
" <td>19.0</td>\n",
|
||||
" <td>[1, 0, 0, 0, 0]</td>\n",
|
||||
" <td>19</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td>[ 7 12 19 13 20]</td>\n",
|
||||
" <td>[10 11 18 15 5]</td>\n",
|
||||
" <td>50</td>\n",
|
||||
" <td>[0. 1. 1. 1. 0.]</td>\n",
|
||||
" <td>44.0</td>\n",
|
||||
" <td>[0, 1, 1, 1, 0]</td>\n",
|
||||
" <td>44</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>9995</th>\n",
|
||||
" <td>[18 12 11 49 32]</td>\n",
|
||||
" <td>[12 3 17 19 7]</td>\n",
|
||||
" <td>41</td>\n",
|
||||
" <td>[1. 1. 1. 0. 0.]</td>\n",
|
||||
" <td>32.0</td>\n",
|
||||
" <td>[1, 1, 1, 0, 0]</td>\n",
|
||||
" <td>32</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>9996</th>\n",
|
||||
" <td>[20 2 24 7 7]</td>\n",
|
||||
" <td>[17 12 4 3 8]</td>\n",
|
||||
" <td>17</td>\n",
|
||||
" <td>[0. 1. 0. 1. 1.]</td>\n",
|
||||
" <td>23.0</td>\n",
|
||||
" <td>[0, 1, 0, 1, 1]</td>\n",
|
||||
" <td>23</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>9997</th>\n",
|
||||
" <td>[43 43 5 15 23]</td>\n",
|
||||
" <td>[15 5 7 2 7]</td>\n",
|
||||
" <td>62</td>\n",
|
||||
" <td>[1. 0. 1. 0. 0.]</td>\n",
|
||||
" <td>22.0</td>\n",
|
||||
" <td>[1, 0, 1, 0, 0]</td>\n",
|
||||
" <td>22</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>9998</th>\n",
|
||||
" <td>[49 9 15 21 39]</td>\n",
|
||||
" <td>[11 15 3 12 19]</td>\n",
|
||||
" <td>65</td>\n",
|
||||
" <td>[0. 1. 1. 0. 1.]</td>\n",
|
||||
" <td>37.0</td>\n",
|
||||
" <td>[0, 1, 1, 0, 1]</td>\n",
|
||||
" <td>37</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>9999</th>\n",
|
||||
" <td>[25 36 42 19 39]</td>\n",
|
||||
" <td>[15 12 7 18 12]</td>\n",
|
||||
" <td>79</td>\n",
|
||||
" <td>[1. 0. 0. 1. 0.]</td>\n",
|
||||
" <td>33.0</td>\n",
|
||||
" <td>[1, 0, 0, 1, 0]</td>\n",
|
||||
" <td>33</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" Weights Prices Capacity Best picks \\\n",
|
||||
"0 [46 40 42 38 10] [12 19 19 15 8] 40 [0. 1. 0. 0. 0.] \n",
|
||||
"1 [11 31 4 6 7] [ 2 8 18 16 3] 64 [1. 1. 1. 1. 1.] \n",
|
||||
"2 [32 49 27 37 24] [19 16 16 4 1] 87 [1. 0. 1. 0. 1.] \n",
|
||||
"3 [20 35 22 23 16] [19 17 19 9 1] 21 [1. 0. 0. 0. 0.] \n",
|
||||
"4 [ 7 12 19 13 20] [10 11 18 15 5] 50 [0. 1. 1. 1. 0.] \n",
|
||||
"9995 [18 12 11 49 32] [12 3 17 19 7] 41 [1. 1. 1. 0. 0.] \n",
|
||||
"9996 [20 2 24 7 7] [17 12 4 3 8] 17 [0. 1. 0. 1. 1.] \n",
|
||||
"9997 [43 43 5 15 23] [15 5 7 2 7] 62 [1. 0. 1. 0. 0.] \n",
|
||||
"9998 [49 9 15 21 39] [11 15 3 12 19] 65 [0. 1. 1. 0. 1.] \n",
|
||||
"9999 [25 36 42 19 39] [15 12 7 18 12] 79 [1. 0. 0. 1. 0.] \n",
|
||||
"\n",
|
||||
" Best price algorithmPicks algorithmPrice \n",
|
||||
"0 19.0 [0, 1, 0, 0, 0] 19 \n",
|
||||
"1 47.0 [1, 1, 1, 1, 1] 47 \n",
|
||||
"2 36.0 [1, 0, 1, 0, 1] 36 \n",
|
||||
"3 19.0 [1, 0, 0, 0, 0] 19 \n",
|
||||
"4 44.0 [0, 1, 1, 1, 0] 44 \n",
|
||||
"9995 32.0 [1, 1, 1, 0, 0] 32 \n",
|
||||
"9996 23.0 [0, 1, 0, 1, 1] 23 \n",
|
||||
"9997 22.0 [1, 0, 1, 0, 0] 22 \n",
|
||||
"9998 37.0 [0, 1, 1, 0, 1] 37 \n",
|
||||
"9999 33.0 [1, 0, 0, 1, 0] 33 "
|
||||
]
|
||||
},
|
||||
"execution_count": 8,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import ast\n",
|
||||
"import re\n",
|
||||
"\n",
|
||||
"population_size = 100\n",
|
||||
"num_generations = 10\n",
|
||||
"mutation_rate = 0.1\n",
|
||||
"mutation_strategy = 'flip'\n",
|
||||
"\n",
|
||||
"def select_parents(population, weights, prices, capacity):\n",
|
||||
" fitness_list = [evaluate_fitness(ind, weights, prices, capacity) for ind in population]\n",
|
||||
" total_fitness = sum(fitness_list)\n",
|
||||
"\n",
|
||||
" if total_fitness == 0:\n",
|
||||
" return random.choice(population), random.choice(population)\n",
|
||||
"\n",
|
||||
" selection_probs = [fitness / total_fitness for fitness in fitness_list]\n",
|
||||
" selected = random.choices(population, weights=selection_probs, k=2)\n",
|
||||
" return selected[0], selected[1]\n",
|
||||
"\n",
|
||||
"def genetic_algorithm(weights, prices, capacity,\n",
|
||||
" population_size=100, num_generations=10,\n",
|
||||
" mutation_rate=0.1, mutation_strategy='flip'):\n",
|
||||
"\n",
|
||||
" num_elements = len(weights)\n",
|
||||
" population = create_population(num_elements, population_size)\n",
|
||||
"\n",
|
||||
" for generation in range(num_generations):\n",
|
||||
" next_population = []\n",
|
||||
"\n",
|
||||
" for _ in range(population_size // 2):\n",
|
||||
" parent1, parent2 = select_parents(population, weights, prices, capacity)\n",
|
||||
" child1, child2 = crossover(parent1, parent2)\n",
|
||||
"\n",
|
||||
" if mutation_strategy == 'flip':\n",
|
||||
" mutate_flip_bits(child1, mutation_rate)\n",
|
||||
" mutate_flip_bits(child2, mutation_rate)\n",
|
||||
" elif mutation_strategy == 'swap':\n",
|
||||
" mutate_swap_genes(child1, mutation_rate)\n",
|
||||
" mutate_swap_genes(child2, mutation_rate)\n",
|
||||
"\n",
|
||||
" next_population.append(child1)\n",
|
||||
" next_population.append(child2)\n",
|
||||
"\n",
|
||||
" population = next_population\n",
|
||||
"\n",
|
||||
" best_individual = None\n",
|
||||
" best_fitness = -1\n",
|
||||
"\n",
|
||||
" for individual in population:\n",
|
||||
" fitness = evaluate_fitness(individual, weights, prices, capacity)\n",
|
||||
" if fitness > best_fitness:\n",
|
||||
" best_fitness = fitness\n",
|
||||
" best_individual = individual\n",
|
||||
"\n",
|
||||
" return best_individual, best_fitness\n",
|
||||
"\n",
|
||||
"picks = []\n",
|
||||
"best_prices = []\n",
|
||||
"\n",
|
||||
"def fix_list_string(s):\n",
|
||||
" s = re.sub(r'\\[\\s*', '[', s)\n",
|
||||
" s = re.sub(r'\\s*\\]', ']', s)\n",
|
||||
" s = re.sub(r'\\s+', ',', s)\n",
|
||||
" return s\n",
|
||||
"\n",
|
||||
"for _, row in df.iterrows():\n",
|
||||
" weights = ast.literal_eval(fix_list_string(row['Weights']))\n",
|
||||
" prices = ast.literal_eval(fix_list_string(row['Prices']))\n",
|
||||
" capacity = row['Capacity']\n",
|
||||
"\n",
|
||||
" best_individual, best_value = genetic_algorithm(\n",
|
||||
" weights, prices, capacity,\n",
|
||||
" population_size, num_generations,\n",
|
||||
" mutation_rate, mutation_strategy\n",
|
||||
" )\n",
|
||||
" \n",
|
||||
" picks.append(best_individual)\n",
|
||||
" best_prices.append(best_value)\n",
|
||||
"\n",
|
||||
"df['algorithmPicks'] = picks\n",
|
||||
"df['algorithmPrice'] = best_prices\n",
|
||||
"\n",
|
||||
"pd.concat([df.head(5), df.tail(5)])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "e60888a3",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Ответы алгоритма совпадают с теми ответами, которые уже имелись в наборе данных"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "aimvenv",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.12.5"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
1319
lab_11/lab11.ipynb
Normal file
1319
lab_11/lab11.ipynb
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user