{ "cells": [ { "cell_type": "markdown", "id": "83c2b1e7-b401-4a15-adf0-d43cebf9ad81", "metadata": {}, "source": [ "# Projet algorithme # \n" ] }, { "cell_type": "markdown", "id": "0b4f92e5-ac40-4491-983d-890c4f0f6694", "metadata": {}, "source": [ "## Contexte du projet: \n" ] }, { "cell_type": "markdown", "id": "5f483b31-1246-4f00-ae39-718ef92ce9eb", "metadata": {}, "source": [ "L'ADEME a lancé un appel à manifestation d'intérêt pour développer des solutions de mobilité adaptées à différents territoires. CesiCDP, en collaboration avec des partenaires, s'est spécialisé dans la Mobilité Multimodale Intelligente. Dans le cadre de cet appel, l'équipe de CesiCDP travaille sur la gestion de tournées de livraison pour minimiser les trajets et optimiser l'efficacité. L'objectif est d'obtenir de nouveaux marchés et des financements pour poursuivre le développement de l'entreprise. Des contraintes supplémentaires seront ajoutées pour rendre le problème plus réaliste et intéressant pour l'ADEME." ] }, { "cell_type": "markdown", "id": "fc23daaf-9f25-4c5a-bf6c-300a7ed8d623", "metadata": {}, "source": [ "Notre but est de réaliser un algorithme permettant de passer par tous les points de livraisons avec un temps optimisé." ] }, { "cell_type": "markdown", "id": "d633beb7-8f26-46d4-9cd9-1d0093e5b5c3", "metadata": {}, "source": [ "## Contrainte :\n" ] }, { "cell_type": "markdown", "id": "35fc1c3c-d7a9-4423-a948-aa00ab51dbf4", "metadata": {}, "source": [ "Les contraintes que nous avons choisi sont les suivantes:\n", "- Avoir plusieurs camions disponible simultanément pour effectuer les livraisons.\n", "- Fenêtre de temps de livraison pour chaque object\n" ] }, { "cell_type": "markdown", "id": "ba356166-604a-4627-ac0f-93b76eb7a22d", "metadata": {}, "source": [ "## Formulation du problème" ] }, { "attachments": {}, "cell_type": "markdown", "id": "c4d6888b-14e6-4745-880f-0a063ebf7476", "metadata": {}, "source": [ "Le problème que nous avons avec les contraintes ci-dessus est le problème VRPTW (Vehicule Routing Problem avec la contrainte supplémentaire de Time Window).\n", "\n", "- Tous les clients doivent être déservis\n", "- Un client ne peut être servi que par un et un seul véhicule.\n", "- En quittant un client, un véhicule peut aller que vers un seul autre client.\n", "- Un véhicule ne peut servir un client que s'il a assez de capacité pour servir le client.\n", "\n", "On va donc affecter chaque client à une tournée effectué par un seul véhicule.\n", "\n", "e.\n", "\n", "\n", "\n", "\n", "\n" ] }, { "cell_type": "markdown", "id": "3346ae96-1c36-4e9d-9480-3ab4657c7d68", "metadata": {}, "source": [ "## Objectifs\n" ] }, { "cell_type": "markdown", "id": "50a3e56e-3bdc-4f2c-a811-8433ffeb2a34", "metadata": {}, "source": [ "L'objectif de notre algorithme est de calculer et de fournir les meilleurs itinéraires pour pouvoir livrer tout les clients avec le nombre de camion disponible. \n", "\n" ] }, { "cell_type": "markdown", "id": "dbd49849-988e-4915-8e28-e00085f4b97e", "metadata": {}, "source": [ "Il est possible de minimiser le nombre de camion nécessaire en optimisant les trajets et leurs temps.\n", "Il faut donc pour cela minimiser le temps de chaque parcours." ] }, { "cell_type": "markdown", "id": "16b3b8a7-4658-4509-a511-7a395654e6f1", "metadata": {}, "source": [ "## Modélisation mathématique" ] }, { "cell_type": "markdown", "id": "286caeb7-26cb-486a-b5f0-94a3f24811fd", "metadata": {}, "source": [ "Nous allons représenter notre problème par un graphe
\n", "$G=(V,E)$\n", "\n", "$V$ représente les sommets du graphe qui correspondent aux clients\n", "\n", "$E$ représente les arcs entre deux clients $i,j \\in V$\n", "\n", "\n", "\n", "On a un ensemble $C=\\{1,2,...,n_c\\}$ de clients qui doivent obtenir leur livraison qui provient du dépot.\n", "\n", "\n", "L'ensemble des emplacements des clients est défini comme :\n", "$V = C \\cup \\{0, n_c+1\\} $\n", "\n", "$0$ et $n_c+1$ représente le dépot, puisqu'on doit revenir au point de départ le dépots est le dernier client plus un. \n", "\n", "\n", "On a un ensemble $V=\\{1,2,...,n_v\\}$ de véhicule disponible et chaque véhicule possède une capacité $Q$.\n", "\n", "\n", "\n", "# Variables de décisions: \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, { "cell_type": "markdown", "id": "5a3512bc-02da-4e2d-b8f6-65e70c3fe686", "metadata": {}, "source": [ "Variables de décision:\n", "- Un ensemble de k véhicule\n" ] }, { "cell_type": "markdown", "id": "7670fdf4-884c-4352-83fa-eed0c8b50074", "metadata": {}, "source": [ "# Initialisation de la matrice" ] }, { "cell_type": "code", "execution_count": 74, "id": "337db031-2e38-4b6d-9d57-74e277d7f033", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[0 0 0 ... 0 0 0]\n", " [0 0 0 ... 0 0 0]\n", " [0 0 0 ... 0 0 0]\n", " ...\n", " [0 0 0 ... 0 0 0]\n", " [0 0 0 ... 0 0 0]\n", " [0 0 0 ... 0 0 0]]\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import random\n", "import networkx as nx\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "def generate_graph(num_nodes):\n", " # Créer un graphe vide\n", " G = nx.Graph()\n", " # Ajouter les sommets au graphe\n", " G.add_nodes_from(range(1, num_nodes + 1))\n", " # Ajouter au moins deux arêtes par sommet\n", " for node in G.nodes():\n", " connected_nodes = sorted(set(G.nodes()) - {node}) # Exclure le sommet lui-même et trier les nœuds\n", " distance1 = random.randint(1,10) \n", " distance2 = random.randint(1,10)\n", " random_nodes = random.sample(connected_nodes, 2)\n", " G.add_edges_from([(node, random_nodes[0], {'distance': distance1}), \n", " (node, random_nodes[1], {'distance': distance2})])\n", " # Ajouter des arêtes supplémentaires de manière aléatoire\n", " while not nx.is_connected(G):\n", " node1, node2 = random.sample(G.nodes(), 2)\n", " if not G.has_edge(node1, node2):\n", " distance = random.randint(1,10)\n", " G.add_edge(node1, node2, distance=distance)\n", " return G\n", "\n", "graph = generate_graph(100)\n", "A = nx.adjacency_matrix(graph).todense()\n", "\n", "\n", "\n", "\n", "print(A)\n", "\n", "# Dessiner le graphe\n", "nx.draw(graph, with_labels=True)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "0bcb13e3-9f98-4601-8140-8a2147757aed", "metadata": {}, "source": [ "Définition des données du problème VRPTW" ] }, { "cell_type": "code", "execution_count": 75, "id": "8266e414-d350-4101-8f15-9cc05ee02934", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "100\n", "Client 0 : (0, inf)\n", "Client 1 : (59, 97)\n", "Client 2 : (22, 36)\n", "Client 3 : (100, 131)\n", "Client 4 : (63, 113)\n", "Client 5 : (8, 34)\n", "Client 6 : (73, 98)\n", "Client 7 : (47, 96)\n", "Client 8 : (58, 103)\n", "Client 9 : (75, 117)\n", "Client 10 : (43, 89)\n", "Client 11 : (92, 136)\n", "Client 12 : (7, 48)\n", "Client 13 : (82, 115)\n", "Client 14 : (37, 58)\n", "Client 15 : (99, 132)\n", "Client 16 : (8, 34)\n", "Client 17 : (30, 77)\n", "Client 18 : (26, 62)\n", "Client 19 : (47, 73)\n", "Client 20 : (41, 67)\n", "Client 21 : (41, 87)\n", "Client 22 : (3, 19)\n", "Client 23 : (84, 126)\n", "Client 24 : (18, 53)\n", "Client 25 : (30, 50)\n", "Client 26 : (57, 94)\n", "Client 27 : (49, 77)\n", "Client 28 : (56, 101)\n", "Client 29 : (26, 54)\n", "Client 30 : (66, 81)\n", "Client 31 : (44, 63)\n", "Client 32 : (37, 80)\n", "Client 33 : (80, 103)\n", "Client 34 : (5, 38)\n", "Client 35 : (68, 79)\n", "Client 36 : (18, 49)\n", "Client 37 : (41, 82)\n", "Client 38 : (55, 79)\n", "Client 39 : (14, 47)\n", "Client 40 : (10, 20)\n", "Client 41 : (37, 81)\n", "Client 42 : (29, 61)\n", "Client 43 : (84, 125)\n", "Client 44 : (49, 96)\n", "Client 45 : (25, 50)\n", "Client 46 : (81, 91)\n", "Client 47 : (24, 40)\n", "Client 48 : (13, 51)\n", "Client 49 : (23, 58)\n", "Client 50 : (86, 107)\n", "Client 51 : (72, 117)\n", "Client 52 : (29, 55)\n", "Client 53 : (61, 101)\n", "Client 54 : (36, 47)\n", "Client 55 : (19, 34)\n", "Client 56 : (38, 85)\n", "Client 57 : (44, 73)\n", "Client 58 : (79, 108)\n", "Client 59 : (44, 74)\n", "Client 60 : (18, 42)\n", "Client 61 : (66, 83)\n", "Client 62 : (99, 140)\n", "Client 63 : (33, 66)\n", "Client 64 : (99, 113)\n", "Client 65 : (37, 86)\n", "Client 66 : (71, 105)\n", "Client 67 : (67, 102)\n", "Client 68 : (80, 120)\n", "Client 69 : (93, 113)\n", "Client 70 : (56, 99)\n", "Client 71 : (43, 75)\n", "Client 72 : (76, 104)\n", "Client 73 : (48, 83)\n", "Client 74 : (34, 72)\n", "Client 75 : (11, 24)\n", "Client 76 : (43, 81)\n", "Client 77 : (48, 65)\n", "Client 78 : (26, 50)\n", "Client 79 : (51, 62)\n", "Client 80 : (33, 78)\n", "Client 81 : (44, 90)\n", "Client 82 : (86, 121)\n", "Client 83 : (78, 115)\n", "Client 84 : (44, 59)\n", "Client 85 : (93, 104)\n", "Client 86 : (62, 88)\n", "Client 87 : (99, 145)\n", "Client 88 : (4, 46)\n", "Client 89 : (67, 94)\n", "Client 90 : (17, 61)\n", "Client 91 : (45, 95)\n", "Client 92 : (45, 95)\n", "Client 93 : (83, 100)\n", "Client 94 : (30, 50)\n", "Client 95 : (4, 28)\n", "Client 96 : (100, 146)\n", "Client 97 : (35, 58)\n", "Client 98 : (18, 31)\n", "Client 99 : (41, 57)\n" ] } ], "source": [ "#k Nombre de camion disponible\n", "k = 4\n", "\n", "#Q capacité de marchandise de chaque camion\n", "Q = 10\n", "\n", "# Implémentez les étapes 1 à 6 de l'algorithme ACO ici\n", "\n", "# 1. Définir les données du problème VRPTW\n", "# Votre code pour attribuer les demandes et les fenêtres de temps aux clients\n", "# Attribuer des fenêtres de temps aux clients\n", "def assign_time_windows(graph):\n", " # Créer un dictionnaire pour stocker les fenêtres de temps des clients\n", " time_windows = {}\n", "\n", " # Définir la fenêtre de temps pour le dépôt central (nœud 0)\n", " time_windows[0] = (0, float('inf'))\n", "\n", " # Assigner une fenêtre de temps à chaque client\n", " for node in graph.nodes():\n", " if node !=0 and node !=100 :\n", " # Générer une fenêtre de temps aléatoire pour chaque client\n", " start_time = random.randint(0, 100)\n", " end_time = start_time + random.randint(10, 50)\n", " time_windows[node] = (start_time, end_time)\n", "\n", " return time_windows\n", "\n", "# Attribuer les fenêtres de temps aux clients\n", "time_windows = assign_time_windows(graph)\n", "\n", "print(max(graph.nodes()))\n", "# Afficher les fenêtres de temps assignées\n", "for node, window in time_windows.items():\n", " print(\"Client\", node, \":\", window)\n", " \n", "\n", " \n", "\n", "\n", "\n", "# 3. Initialiser la matrice de phéromones\n", "# Votre code pour initialiser la matrice de phéromones\n", "\n", "# 4. Implémenter la fonction de construction de la solution par une fourmi\n", "# V\n", "\n", "\n", "\n", "\n" ] }, { "cell_type": "markdown", "id": "4fcc61cf-b917-4d41-b7c4-e79ffc0c7bcd", "metadata": {}, "source": [ "# Définition de l'algorithme des fourmis (marche pas encore)" ] }, { "cell_type": "code", "execution_count": 76, "id": "5a55bfc8-a5b5-4b25-b924-ee906b7b3d7e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Meilleure solution : [0, 0]\n", "Coût de la meilleure solution : 0\n" ] } ], "source": [ "# 2. Définir les paramètres de l'algorithme ACO\n", "num_ants = 10 # Nombre de fourmis\n", "num_iterations = 100 # Nombre d'itérations\n", "\n", "# 3. Initialiser la matrice de phéromones\n", "pheromones = 0.1 * np.ones((num_nodes, num_nodes)) # Matrice de phéromones initiale\n", "\n", "# 4. Implémenter la fonction de construction de la solution par une fourmi\n", "def construct_solution(pheromones, visibility, demands, time_windows):\n", " solutions = []\n", " costs = []\n", " for ant in range(num_ants):\n", " current_node = 0 # Dépôt central\n", " unvisited_nodes = set(range(1, num_nodes)) # Tous les clients non visités\n", " path = [current_node]\n", " current_time = 0\n", " current_capacity = Q\n", "\n", " # Construction du chemin de la fourmi\n", " while unvisited_nodes:\n", " feasible_nodes = []\n", " feasible_probabilities = []\n", " for next_node in unvisited_nodes:\n", " if current_node != 0 and next_node != 0 and 'distance' in graph.edges[current_node, next_node]:\n", " if current_time + graph.edges[current_node, next_node]['distance'] <= time_windows[next_node][1] and \\\n", " current_capacity >= demands[next_node]:\n", " feasible_nodes.append(next_node)\n", " probability = pheromones[current_node][next_node] ** pheromone_importance \\\n", " * visibility[current_node][next_node] ** distance_importance\n", " feasible_probabilities.append(probability)\n", " if feasible_nodes:\n", " feasible_probabilities = np.array(feasible_probabilities)\n", " feasible_probabilities /= np.sum(feasible_probabilities)\n", " next_node = random.choices(feasible_nodes, weights=feasible_probabilities)[0]\n", " current_node = next_node\n", " path.append(next_node)\n", " unvisited_nodes.remove(next_node)\n", " current_time += graph.edges[current_node, next_node]['distance']\n", " current_capacity -= demands[next_node]\n", " else:\n", " break\n", "\n", " # Ajout du retour au dépôt central\n", " path.append(0)\n", "\n", " # Calcul du coût du chemin\n", " cost = sum(A[path[i]][path[i + 1]] for i in range(len(path) - 1))\n", "\n", " solutions.append(path)\n", " costs.append(cost)\n", "\n", " return solutions, costs\n", "\n", "# 5. Mettre à jour les phéromones\n", "def update_pheromones(pheromones, solutions, costs):\n", " for solution, cost in zip(solutions, costs):\n", " for i in range(len(solution) - 1):\n", " current_node = solution[i]\n", " next_node = solution[i + 1]\n", " if cost != 0:\n", " pheromones[current_node][next_node] += 1 / cost\n", " return pheromones\n", "\n", "# 6. Répéter les étapes 4 et 5 pour un nombre donné d'itérations\n", "best_solution = None\n", "best_cost = float('inf')\n", "\n", "for iteration in range(num_iterations):\n", " # Construction des solutions par les fourmis\n", " solutions, costs = construct_solution(pheromones, visibility, demands, time_windows)\n", "\n", " # Mise à jour des phéromones\n", " pheromones = update_pheromones(pheromones, solutions, costs)\n", "\n", " # Recherche de la meilleure solution\n", " best_index = np.argmin(costs)\n", " if costs[best_index] < best_cost:\n", " best_solution = solutions[best_index]\n", " best_cost = costs[best_index]\n", "\n", "# Affichage de la meilleure solution trouvée\n", "print(\"Meilleure solution :\", best_solution)\n", "print(\"Coût de la meilleure solution :\", best_cost)" ] }, { "cell_type": "code", "execution_count": null, "id": "301fb5e8-9804-4592-9193-5915f1b9ecad", "metadata": {}, "outputs": [], "source": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "import random\n", "import numpy as np\n", "\n", "# Fonction d'évaluation de la qualité d'une solution (ici, la distance totale)\n", "def evaluate_solution(solution, distances):\n", " total_distance = 0\n", " num_nodes = len(solution)\n", "\n", " for i in range(num_nodes - 1):\n", " current_node = solution[i]\n", " next_node = solution[i + 1]\n", " total_distance += distances[current_node][next_node]\n", "\n", " # Ajouter la distance de retour au dépôt\n", " total_distance += distances[solution[-1]][solution[0]]\n", "\n", " return total_distance\n", "\n", " \n", "# Algorithme ACO\n", "def ant_colony_optimization(distances, num_ants, num_iterations, evaporation_rate, alpha, beta):\n", " num_nodes = len(distances)\n", " pheromone = np.ones((num_nodes, num_nodes)) # Matrice de phéromones initiale\n", " best_solution = None\n", " best_distance = float('inf')\n", "\n", " for iteration in range(num_iterations):\n", " # Construction de solutions par les fourmis\n", " solutions = []\n", "\n", " for ant in range(num_ants):\n", " visited = set()\n", " current_node = random.randint(0, num_nodes - 1)\n", " visited.add(current_node)\n", " solution = [current_node]\n", "\n", " while len(visited) < num_nodes:\n", " next_node = None\n", " probabilities = []\n", "\n", " # Calcul des probabilités de choisir chaque prochain nœud\n", " for node in range(num_nodes):\n", " if node not in visited:\n", " pheromone_value = pheromone[current_node][node]\n", " distance_value = distances[current_node][node]\n", " probability = (pheromone_value ** alpha) * ((1 / distance_value) ** beta)\n", " probabilities.append((node, probability))\n", "\n", " total_probability = sum(prob for _, prob in probabilities)\n", " probabilities = [(node, prob / total_probability) for node, prob in probabilities]\n", "\n", " # Choix du prochain nœud basé sur les probabilités\n", " roulette_wheel = random.random()\n", " probability_sum = 0\n", "\n", " for node, probability in probabilities:\n", " probability_sum += probability\n", " if probability_sum >= roulette_wheel:\n", " next_node = node\n", " break\n", "\n", " visited.add(next_node)\n", " solution.append(next_node)\n", " current_node = next_node\n", "\n", " solutions.append(solution)\n", "\n", " # Évaluation des solutions et mise à jour de la meilleure solution\n", " for solution in solutions:\n", " distance = evaluate_solution(solution, distances)\n", " if distance < best_distance:\n", " best_solution = solution\n", " best_distance = distance\n", "\n", " # Mise à jour des phéromones\n", " pheromone *= evaporation_rate # Évaporation des phéromones existantes\n", "\n", " for solution in solutions:\n", " delta_pheromone = 1 / evaluate_solution(solution, distances)\n", " for i in range(num_nodes - 1):\n", " node1 = solution[i]\n", " node2 = solution[i + 1]\n", " pheromone[node1][node2] += delta_pheromone\n", " pheromone[node2][node1] += delta_pheromone\n", "\n", " return best_solution, best_distance\n", "\n", "# Exemple d'utilisation\n", "distances = [[0, 2, 9, 10],\n", " [2, 0, 6, 4],\n", " [9, 6, 0, 8],\n", " [10, 4, 8, 0]]\n", "\n", "num_ants = 10\n", "num_iterations = 100\n", "evaporation_rate = 0.5\n", "alpha = 1\n", "beta = 1\n", "\n", "best_solution, best_distance = ant_colony_optimization(distances, num_ants, num_iterations, evaporation_rate, alpha, beta)\n", "\n", "print(\"Meilleure solution :\", best_solution)\n", "print(\"Distance totale :\", best_distance)" ] } ], "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": "3.10.2" } }, "nbformat": 4, "nbformat_minor": 5 }