Stop tracking test/.ipynb_checkpoints

1 files changed, 0 insertions, 112 deletions

diff --git a/test/.ipynb_checkpoints/GA-checkpoint.ipynb b/test/.ipynb_checkpoints/GA-checkpoint.ipynb
deleted file mode 100644
index bab966d..0000000
--- a/test/.ipynb_checkpoints/GA-checkpoint.ipynb
+++ /dev/null
@@ -1,112 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "2fd45b3a-9a24-4782-812c-08223edb750e",
-   "metadata": {},
-   "source": [
-    "# Prueba del algoritmo genetico"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f6b4829a-9001-410c-b20c-01c65c777d8a",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2c3c85e0-a90c-4fda-86f7-778d7328c74d",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "511ff788-0d1a-4ac7-9575-de182d236574",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "078280b5-70ef-4691-8798-a686d85d188c",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b3ad92de-b2ed-4f21-a696-1fa2981f89dc",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def genetic_algorithm(population, fitness_fn, ngen=100, pmut=0.1):\n",
-    "    \"Algoritmo Genetico \"\n",
-    "    \n",
-    "    popsize = len(population)\n",
-    "    evaluate_population(population, fitness_fn)  # evalua la poblacion inicial\n",
-    "    ibest = sorted(range(len(population)), key=lambda i: population[i].fitness, reverse=True)[:1]\n",
-    "    bestfitness = [population[ibest[0]].fitness]\n",
-    "    print(\"Poblacion inicial, best_fitness = {}\".format(population[ibest[0]].fitness))\n",
-    "    \n",
-    "    for g in range(ngen):   # Por cada generacion\n",
-    "        \n",
-    "        ## Selecciona las parejas de padres para cruzamiento \n",
-    "        mating_pool = []\n",
-    "        for i in range(int(popsize/2)): mating_pool.append(select_parents_roulette(population)) \n",
-    "        \n",
-    "        ## Crea la poblacion descendencia cruzando las parejas del mating pool con Recombinación de 1 punto\n",
-    "        offspring_population = []\n",
-    "        for i in range(len(mating_pool)): \n",
-    "            #offspring_population.extend( mating_pool[i][0].crossover_onepoint(mating_pool[i][1]) )\n",
-    "            offspring_population.extend( mating_pool[i][0].crossover_uniform(mating_pool[i][1]) )\n",
-    "\n",
-    "        ## Aplica el operador de mutacion con probabilidad pmut en cada hijo generado\n",
-    "        for i in range(len(offspring_population)):\n",
-    "            if random.uniform(0, 1) < pmut: \n",
-    "                offspring_population[i] = offspring_population[i].mutate_position()\n",
-    "        \n",
-    "        ## Evalua la poblacion descendencia\n",
-    "        evaluate_population(offspring_population, fitness_fn)  # evalua la poblacion inicial\n",
-    "        \n",
-    "        ## Selecciona popsize individuos para la sgte. generación de la union de la pob. actual y  pob. descendencia\n",
-    "        population = select_survivors(population, offspring_population, popsize)\n",
-    "\n",
-    "        ## Almacena la historia del fitness del mejor individuo\n",
-    "        ibest = sorted(range(len(population)), key=lambda i: population[i].fitness, reverse=True)[:1]\n",
-    "        bestfitness.append(population[ibest[0]].fitness)\n",
-    "        print(\"generacion {}, best_fitness = {}\".format(g, population[ibest[0]].fitness))\n",
-    "    \n",
-    "    return population[ibest[0]], bestfitness  "
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "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": "3.9.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}