1142 lines
427 KiB
Plaintext
1142 lines
427 KiB
Plaintext
{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "83c2b1e7-b401-4a15-adf0-d43cebf9ad81",
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"metadata": {},
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"source": [
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"# Projet algorithme # \n"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "0b4f92e5-ac40-4491-983d-890c4f0f6694",
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"metadata": {},
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"source": [
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"## Contexte du projet: \n"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "5f483b31-1246-4f00-ae39-718ef92ce9eb",
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"metadata": {},
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"source": [
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"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."
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "fc23daaf-9f25-4c5a-bf6c-300a7ed8d623",
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"metadata": {},
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"source": [
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"Notre but est de réaliser un algorithme permettant de passer par tous les points de livraisons avec un temps optimisé."
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "d633beb7-8f26-46d4-9cd9-1d0093e5b5c3",
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"metadata": {},
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"source": [
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"## Contraintes choisies :\n"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "35fc1c3c-d7a9-4423-a948-aa00ab51dbf4",
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"metadata": {},
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"source": [
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"Les contraintes que nous avons choisi sont les suivantes:\n",
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"- Avoir plusieurs camions disponible simultanément pour effectuer les livraisons.\n",
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"- Fenêtre de temps de livraison pour chaque object\n"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "ba356166-604a-4627-ac0f-93b76eb7a22d",
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"metadata": {},
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"source": [
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"## Formulation du problème"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "c4d6888b-14e6-4745-880f-0a063ebf7476",
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"metadata": {},
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"source": [
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"Soit un graphe $G=(V,E)$, où $V$ est l'ensemble des villes (ou points de livraison) et $E$ est l'ensemble des routes entre les villes. Chaque ville $v∈V$ a une fenêtre de temps de livraison $[a_v,b_v]$, où $a_v$ est le début de la fenêtre et $b_v$ est la fin de la fenêtre. Il y a $k$ camions disponibles pour effectuer les livraisons.\n",
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"\n",
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"Le problème consiste à trouver une tournée pour chaque camion, de manière à ce que toutes les livraisons soient effectuées dans leurs fenêtres de temps respectives et que la date de retour du dernier camion à la base soit minimisée.\n",
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"\n",
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"\n",
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"Le problème que nous avons avec les contraintes ci-dessus est le problème du VRPTW (Vehicule Routing Problem avec la contrainte supplémentaire de fenêtres d'ouverture)."
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "6d392f68",
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"metadata": {},
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"source": [
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"## Contraintes du problème"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "f95dba22",
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"metadata": {},
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"source": [
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"Liste des contraintes du problème:\n",
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"\n",
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"- Tous les clients doivent être déservis\n",
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"- Un client ne peut être servi que par un et un seul véhicule.\n",
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"- En quittant un client, un véhicule peut aller que vers un seul autre client.\n",
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"- Un véhicule ne peut servir un client que s'il a assez de capacité pour servir le client.\n",
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"\n",
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"On va donc affecter chaque client à une tournée effectué par un seul véhicule."
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "16b3b8a7-4658-4509-a511-7a395654e6f1",
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"metadata": {},
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"source": [
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"## Modélisation mathématique"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "b54bfa8c",
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"metadata": {},
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"source": [
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"### Ensemble et paramètres:"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "637eb295",
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"metadata": {},
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"source": [
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"$V=\\{0,1,2,...,n\\}$ : l'ensemble des villes, où 0 est la base (ou le dépôt) et $1,2,...,n$ sont les villes de livraison. <br>\n",
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"$K=\\{1,2,...,k\\}$ : l'ensemble des camions. <br>\n",
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"$d_{ij}$ : la distance (ou le temps de trajet) de la ville ii à la ville $j$. <br>\n",
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"$[a_i,b_i]$ : la fenêtre de temps de livraison pour la ville $i$. <br>\n",
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"$M$ : une grande constante."
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "1219e4f2",
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"metadata": {},
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"source": [
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"### Variables de décision:"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "a6d398fa",
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"metadata": {},
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"source": [
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"$x_{ijk}$ : variable binaire qui vaut 1 si le camion $k$ se déplace de la ville $i$ à la ville $j$, et 0 sinon. <br>\n",
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"$t_{ik}$ : le moment où le camion $k$ arrive à la ville $i$."
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "e635cf14",
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"metadata": {},
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"source": [
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"### Fonction objective:"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "56652859",
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"metadata": {},
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"source": [
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"Minimiser $Z=max_{k∈K}t_{0k}$"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "a1465000",
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"metadata": {},
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"source": [
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"### Contraintes:\n",
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"Chaque ville est visitée une fois et une seule fois : $$\\sum_{k∈K} \\sum_{j∈V} x_{ijk} = 1, ∀i \\in V∖ \\{0\\}$$\n",
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"\n",
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"Si un camion se déplace de la ville ii à la ville $j$, alors le moment d'arrivée à la ville $j$ doit être plus grand que le moment d'arrivée à la ville $i$ plus le temps de trajet : $$t_{ik}+d_{ij} \\leq t_{jk}+M(1−x_{ijk}),∀i,j \\in V,i \\ne j,∀k \\in K$$\n",
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"\n",
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"Les fenêtres de temps de livraison doivent être respectées : $$a_i \\leq t_{ik} \\leq b_i, ∀i \\in V∖ \\{0 \\},∀k \\in K$$\n",
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"\n",
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"Les contraintes de flux pour garantir que si un camion entre dans une ville, il doit également en sortir :\n",
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"$$i \\in V,i \\ne j∑xijk=i∈V,i \\ne j∑xjik=yjk,∀j∈V,∀k∈K$$"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "286caeb7-26cb-486a-b5f0-94a3f24811fd",
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"metadata": {},
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"source": [
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"Nous allons représenter notre problème par un graphe <br>\n",
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"$G=(V,E)$\n",
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"\n",
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"$V$ représente les sommets du graphe qui correspondent aux clients\n",
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"\n",
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"$E$ représente les arcs entre deux clients $i,j \\in V$\n",
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"\n",
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"\n",
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"\n",
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"On a un ensemble $C=\\{1,2,...,n_c\\}$ de clients qui doivent obtenir leur livraison qui provient du dépot.\n",
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"\n",
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"\n",
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"L'ensemble des emplacements des clients est défini comme :\n",
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"$V = C \\cup \\{0, n_c+1\\} $\n",
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"\n",
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"$0$ et $n_c+1$ représente le dépot, puisqu'on doit revenir au point de départ le dépots est le dernier client plus un. \n",
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"\n",
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"\n",
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"On a un ensemble $V=\\{1,2,...,n_v\\}$ de véhicule disponible et chaque véhicule possède une capacité $Q$.\n",
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"\n",
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"\n",
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"\n",
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"# Variables de décisions: \n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"\n"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "5a3512bc-02da-4e2d-b8f6-65e70c3fe686",
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"metadata": {},
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"source": [
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"Variables de décision:\n",
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"- Un ensemble de k véhicule\n"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "7670fdf4-884c-4352-83fa-eed0c8b50074",
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"metadata": {},
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"source": [
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"# Initialisation de la matrice"
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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": 17,
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"id": "337db031-2e38-4b6d-9d57-74e277d7f033",
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"metadata": {
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"scrolled": true
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},
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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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"[[inf 1. 1. 2. 1. 1. 2. 1. 2. 2. 2.]\n",
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" [ 1. inf 2. 1. 2. 2. 3. 2. 3. 1. 3.]\n",
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" [ 1. 2. inf 3. 2. 2. 1. 2. 1. 1. 2.]\n",
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" [ 2. 1. 3. inf 1. 3. 4. 2. 3. 2. 4.]\n",
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" [ 1. 2. 2. 1. inf 2. 3. 1. 2. 1. 3.]\n",
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" [ 1. 2. 2. 3. 2. inf 2. 1. 1. 3. 1.]\n",
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" [ 2. 3. 1. 4. 3. 2. inf 3. 2. 2. 1.]\n",
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" [ 1. 2. 2. 2. 1. 1. 3. inf 1. 2. 2.]\n",
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" [ 2. 3. 1. 3. 2. 1. 2. 1. inf 2. 1.]\n",
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" [ 2. 1. 1. 2. 1. 3. 2. 2. 2. inf 3.]\n",
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" [ 2. 3. 2. 4. 3. 1. 1. 2. 1. 3. inf]]\n",
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"[[0 1 1 0 1 1 0 1 0 0 0]\n",
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" [1 0 0 1 0 0 0 0 0 1 0]\n",
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" [1 0 0 0 0 0 1 0 1 1 0]\n",
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" [0 1 0 0 1 0 0 0 0 0 0]\n",
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" [1 0 0 1 0 0 0 1 0 1 0]\n",
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" [1 0 0 0 0 0 0 1 1 0 1]\n",
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" [0 0 1 0 0 0 0 0 0 0 1]\n",
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" [1 0 0 0 1 1 0 0 1 0 0]\n",
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" [0 0 1 0 0 1 0 1 0 0 1]\n",
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" [0 1 1 0 1 0 0 0 0 0 0]\n",
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" [0 0 0 0 0 1 1 0 1 0 0]]\n"
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]
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},
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{
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"data": {
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"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"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",
|
||
" G = nx.Graph()\n",
|
||
" G.add_nodes_from(range(num_nodes + 1))\n",
|
||
" \n",
|
||
" for node in G.nodes():\n",
|
||
" connected_nodes = sorted(set(G.nodes()) - {node})\n",
|
||
" if len(connected_nodes) < 2:\n",
|
||
" continue\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",
|
||
"\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",
|
||
"\n",
|
||
" return G\n",
|
||
"\n",
|
||
"graph = generate_graph(10)\n",
|
||
"A = nx.adjacency_matrix(graph).todense()\n",
|
||
"\n",
|
||
"def generate_distance_matrix(graph):\n",
|
||
" distance_matrix = dict(nx.floyd_warshall(graph))\n",
|
||
" num_nodes = graph.number_of_nodes()\n",
|
||
" distance_array = np.full((num_nodes, num_nodes), np.inf)\n",
|
||
" for i, row in distance_matrix.items():\n",
|
||
" for j, distance in row.items():\n",
|
||
" if i != j:\n",
|
||
" distance_array[i][j] = distance\n",
|
||
" return distance_array\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"# Générer la matrice de distances\n",
|
||
"distance_matrix = generate_distance_matrix(graph)\n",
|
||
"\n",
|
||
"# Afficher la matrice de distances\n",
|
||
"print(distance_matrix)\n",
|
||
"\n",
|
||
"\n",
|
||
"print(A)\n",
|
||
"\n",
|
||
"# Dessiner le graphe\n",
|
||
"nx.draw(graph, with_labels=True)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"attachments": {},
|
||
"cell_type": "markdown",
|
||
"id": "0bcb13e3-9f98-4601-8140-8a2147757aed",
|
||
"metadata": {},
|
||
"source": [
|
||
"Définition des données du problème VRPTW"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"id": "8266e414-d350-4101-8f15-9cc05ee02934",
|
||
"metadata": {
|
||
"scrolled": true
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"10\n",
|
||
"Client 0 : (0, inf)\n",
|
||
"Client 1 : (35, 66)\n",
|
||
"Client 2 : (48, 88)\n",
|
||
"Client 3 : (87, 137)\n",
|
||
"Client 4 : (45, 67)\n",
|
||
"Client 5 : (36, 69)\n",
|
||
"Client 6 : (57, 97)\n",
|
||
"Client 7 : (24, 38)\n",
|
||
"Client 8 : (21, 50)\n",
|
||
"Client 9 : (50, 83)\n",
|
||
"Client 10 : (100, 119)\n",
|
||
"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
|
||
"[(0, 7), (0, 1), (0, 2), (0, 4), (0, 5), (1, 9), (1, 3), (2, 9), (2, 6), (2, 8), (3, 4), (4, 7), (4, 9), (5, 7), (5, 8), (5, 10), (6, 10), (7, 8), (8, 10)]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"\n",
|
||
"#k Nombre de camion disponible\n",
|
||
"num_truck = 4\n",
|
||
"\n",
|
||
"# 2. Attribuer les 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 != graph.number_of_nodes() :\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",
|
||
"\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",
|
||
"#paramètres ACO\n",
|
||
"\n",
|
||
"print(graph.nodes())\n",
|
||
"print(graph.edges())\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"attachments": {},
|
||
"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": 19,
|
||
"id": "5a55bfc8-a5b5-4b25-b924-ee906b7b3d7e",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"ename": "KeyboardInterrupt",
|
||
"evalue": "",
|
||
"output_type": "error",
|
||
"traceback": [
|
||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||
"\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
|
||
"Cell \u001b[1;32mIn[19], line 136\u001b[0m\n\u001b[0;32m 134\u001b[0m \u001b[39mfor\u001b[39;00m iteration \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(num_iterations):\n\u001b[0;32m 135\u001b[0m \u001b[39mfor\u001b[39;00m ant \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(num_ants):\n\u001b[1;32m--> 136\u001b[0m solution , solution_length \u001b[39m=\u001b[39m generate_solution(graph, pheromones, alpha, beta, time_windows, num_truck)\n\u001b[0;32m 138\u001b[0m deposit_pheromones(pheromones, solution, solution_length, deposit_amount)\n\u001b[0;32m 140\u001b[0m \u001b[39mif\u001b[39;00m solution_length \u001b[39m<\u001b[39m best_solution_length:\n",
|
||
"Cell \u001b[1;32mIn[19], line 92\u001b[0m, in \u001b[0;36mgenerate_solution\u001b[1;34m(graph, pheromones, alpha, beta, time_windows, num_truck)\u001b[0m\n\u001b[0;32m 89\u001b[0m \u001b[39mwhile\u001b[39;00m remaining_nodes:\n\u001b[0;32m 90\u001b[0m probabilities \u001b[39m=\u001b[39m calculate_probabilities(graph, pheromones, current_node, visited_nodes, remaining_nodes, alpha, beta, time_windows, current_truck)\n\u001b[1;32m---> 92\u001b[0m next_node \u001b[39m=\u001b[39m select_next_node(probabilities, remaining_nodes)\n\u001b[0;32m 94\u001b[0m edge_data \u001b[39m=\u001b[39m graph\u001b[39m.\u001b[39mget_edge_data(current_node, next_node)\n\u001b[0;32m 95\u001b[0m \u001b[39mif\u001b[39;00m edge_data \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n",
|
||
"Cell \u001b[1;32mIn[19], line 67\u001b[0m, in \u001b[0;36mselect_next_node\u001b[1;34m(probabilities, remaining_nodes)\u001b[0m\n\u001b[0;32m 63\u001b[0m \u001b[39mif\u001b[39;00m random_number \u001b[39m<\u001b[39m\u001b[39m=\u001b[39m cumulative_probability:\n\u001b[0;32m 64\u001b[0m \u001b[39mreturn\u001b[39;00m neighbor_node\n\u001b[1;32m---> 67\u001b[0m \u001b[39mif\u001b[39;00m probabilities:\n\u001b[0;32m 68\u001b[0m \u001b[39mreturn\u001b[39;00m random\u001b[39m.\u001b[39mchoice([neighbor_node \u001b[39mfor\u001b[39;00m neighbor_node, _ \u001b[39min\u001b[39;00m probabilities])\n\u001b[0;32m 69\u001b[0m \u001b[39melse\u001b[39;00m:\n",
|
||
"\u001b[1;31mKeyboardInterrupt\u001b[0m: "
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Nombre de fourmis\n",
|
||
"num_ants = 10\n",
|
||
"num_iterations = 100\n",
|
||
"alpha = 1 #importance de la phéromone\n",
|
||
"beta = 2 #importance de la distance\n",
|
||
"evaporation_rate = 0.5\n",
|
||
"\n",
|
||
"deposit_amount = 1\n",
|
||
"\n",
|
||
"pheromones = np.ones((max(graph.nodes()), max(graph.nodes()))) #matrice de phéromones\n",
|
||
"\n",
|
||
"\n",
|
||
"def evaporate_pheromones(pheromones, evaporation_rate):\n",
|
||
" pheromones *= (1 - evaporation_rate)\n",
|
||
"\n",
|
||
"def deposit_pheromones(pheromones, path, path_lengh, deposit_amount):\n",
|
||
" for i in range(len(path) - 1):\n",
|
||
" pheromones[path[i], path[i+1]] += deposit_amount / path_length\n",
|
||
"\n",
|
||
" pheromones[path[-1], 0] += deposit_amount / path_length\n",
|
||
"\n",
|
||
"\n",
|
||
"def check_time_window(neighbor_node, visited_nodes, time_windows, truck):\n",
|
||
" if neighbor_node ==0:\n",
|
||
" return True\n",
|
||
" \n",
|
||
" current_time = truck['current_time']\n",
|
||
" start_time, end_time = time_windows[neighbor_node -1]\n",
|
||
" if start_time <= current_time <= end_time:\n",
|
||
" return True\n",
|
||
"\n",
|
||
" else: return False\n",
|
||
" \n",
|
||
"\n",
|
||
"\n",
|
||
"def calculate_probabilities(graph, pheromones, current_node, visited_nodes, remaining_nodes, alpha, beta, time_windows, truck):\n",
|
||
" probabilities = []\n",
|
||
" total_probability = 0\n",
|
||
"\n",
|
||
" for neighbor_node in remaining_nodes:\n",
|
||
" if graph.has_edge(current_node, neighbor_node) and check_time_window(neighbor_node, visited_nodes, time_windows, truck):\n",
|
||
" distance = graph[current_node][neighbor_node]['distance']\n",
|
||
"\n",
|
||
" if not np.isinf(distance):\n",
|
||
" pheromone = pheromones[current_node][neighbor_node]\n",
|
||
" heuristic = 1 / distance\n",
|
||
" probability = (pheromone ** alpha) * (heuristic ** beta)\n",
|
||
" probabilities.append((neighbor_node, probability))\n",
|
||
" total_probability += probability\n",
|
||
"\n",
|
||
" # Normalisation des probabilités\n",
|
||
" probabilities = [(neighbor_node, probability / total_probability) for neighbor_node, probability in probabilities]\n",
|
||
"\n",
|
||
" return probabilities\n",
|
||
"\n",
|
||
"\n",
|
||
"def select_next_node(probabilities, remaining_nodes):\n",
|
||
" random_number = random.random()\n",
|
||
" cumulative_probability = 0\n",
|
||
"\n",
|
||
" for neighbor_node, probability in probabilities:\n",
|
||
" cumulative_probability += probability\n",
|
||
" if random_number <= cumulative_probability:\n",
|
||
" return neighbor_node\n",
|
||
"\n",
|
||
" \n",
|
||
" if probabilities:\n",
|
||
" return random.choice([neighbor_node for neighbor_node, _ in probabilities])\n",
|
||
" else:\n",
|
||
" return random.choice(list(remaining_nodes))\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"def generate_solution(graph, pheromones, alpha, beta, time_windows, num_truck):\n",
|
||
" num_nodes = graph.number_of_nodes()\n",
|
||
" num_vehicles = min(num_nodes - 1, num_truck) # Nombre de camions à utiliser\n",
|
||
"\n",
|
||
" solution = [[] for _ in range(num_vehicles)] # Liste des chemins pour chaque camion\n",
|
||
"\n",
|
||
" for truck in range(num_vehicles):\n",
|
||
" current_node = 0 # Dépôt central comme point de départ pour chaque camion\n",
|
||
" visited_nodes = set([current_node]) # Ensemble des nœuds visités par le camion\n",
|
||
" remaining_nodes = set(graph.nodes()) - visited_nodes # Ensemble des nœuds restants\n",
|
||
"\n",
|
||
" start_time = 0\n",
|
||
" current_truck = {'current_time': start_time}\n",
|
||
"\n",
|
||
" while remaining_nodes:\n",
|
||
" probabilities = calculate_probabilities(graph, pheromones, current_node, visited_nodes, remaining_nodes, alpha, beta, time_windows, current_truck)\n",
|
||
"\n",
|
||
" next_node = select_next_node(probabilities, remaining_nodes)\n",
|
||
"\n",
|
||
" edge_data = graph.get_edge_data(current_node, next_node)\n",
|
||
" if edge_data is not None:\n",
|
||
" distance = edge_data['distance']\n",
|
||
" start_time = current_truck['current_time'] + distance\n",
|
||
" current_truck['current_time'] = start_time\n",
|
||
" solution[truck].append((current_node, next_node))\n",
|
||
" visited_nodes.add(next_node)\n",
|
||
" remaining_nodes.remove(next_node)\n",
|
||
" current_node = next_node\n",
|
||
"\n",
|
||
"\n",
|
||
" # Ajouter le retour au dépôt central à la fin du trajet du camion\n",
|
||
" solution[truck].append((current_node, 0))\n",
|
||
"\n",
|
||
" solution_length = calculate_solution_length(graph, solution)\n",
|
||
"\n",
|
||
" \n",
|
||
"\n",
|
||
"\n",
|
||
" return solution, solution_length\n",
|
||
"\n",
|
||
"\n",
|
||
"def calculate_solution_length(graph, solution):\n",
|
||
" length = 0\n",
|
||
" for truck_path in solution:\n",
|
||
" for i in range(len(truck_path) - 1):\n",
|
||
" current_node, next_node = truck_path[i]\n",
|
||
" distance = graph[current_node][next_node]['distance']\n",
|
||
" if not np.isinf(distance):\n",
|
||
"\n",
|
||
" length += distance\n",
|
||
" return length\n",
|
||
"\n",
|
||
" \n",
|
||
" \n",
|
||
"\n",
|
||
"# Initialiser la meilleure solution trouvée\n",
|
||
"best_solution = None\n",
|
||
"best_solution_length = float('inf')\n",
|
||
"\n",
|
||
"for iteration in range(num_iterations):\n",
|
||
" for ant in range(num_ants):\n",
|
||
" solution , solution_length = generate_solution(graph, pheromones, alpha, beta, time_windows, num_truck)\n",
|
||
"\n",
|
||
" deposit_pheromones(pheromones, solution, solution_length, deposit_amount)\n",
|
||
"\n",
|
||
" if solution_length < best_solution_length:\n",
|
||
" best_solution = solution\n",
|
||
" best_solution_length = solution_length\n",
|
||
"\n",
|
||
"\n",
|
||
" evaporate_pheromones(pheromones, evaporation_rate)\n",
|
||
"\n",
|
||
"print(\"Meilleure solution trouvée:\", best_solution)\n",
|
||
"print(\"Longueur de la meilleure solution:\", best_solution_length)\n",
|
||
"\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"attachments": {},
|
||
"cell_type": "markdown",
|
||
"id": "9aac4453",
|
||
"metadata": {},
|
||
"source": [
|
||
"# Test 2 fourmis\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 201,
|
||
"id": "c177ac22",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"[[0. 4. 2. ... 3. 2. 3.]\n",
|
||
" [4. 0. 3. ... 3. 3. 3.]\n",
|
||
" [2. 3. 0. ... 1. 2. 4.]\n",
|
||
" ...\n",
|
||
" [3. 3. 1. ... 0. 3. 3.]\n",
|
||
" [2. 3. 2. ... 3. 0. 2.]\n",
|
||
" [3. 3. 4. ... 3. 2. 0.]]\n",
|
||
"[[0 0 0 ... 0 0 0]\n",
|
||
" [0 0 0 ... 0 0 0]\n",
|
||
" [0 0 0 ... 1 0 0]\n",
|
||
" ...\n",
|
||
" [0 0 1 ... 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": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"\n",
|
||
"import random\n",
|
||
"import numpy as np\n",
|
||
"import networkx as nx\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"def generate_graph(num_nodes):\n",
|
||
" G = nx.Graph()\n",
|
||
" G.add_nodes_from(range(num_nodes + 1))\n",
|
||
" \n",
|
||
" for node in G.nodes():\n",
|
||
" connected_nodes = sorted(set(G.nodes()) - {node})\n",
|
||
" if len(connected_nodes) < 2:\n",
|
||
" continue\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",
|
||
"\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",
|
||
"\n",
|
||
" # Assigner des positions aléatoires aux nœuds\n",
|
||
" pos = {node: (random.uniform(0, 10), random.uniform(0, 10)) for node in G.nodes()}\n",
|
||
" nx.set_node_attributes(G, pos, 'pos')\n",
|
||
"\n",
|
||
" return G\n",
|
||
"\n",
|
||
"graph = generate_graph(49)\n",
|
||
"A = nx.adjacency_matrix(graph).todense()\n",
|
||
"\n",
|
||
"def generate_distance_matrix(graph):\n",
|
||
" distance_matrix = dict(nx.floyd_warshall(graph))\n",
|
||
" num_nodes = graph.number_of_nodes()\n",
|
||
" distance_array = np.zeros((num_nodes, num_nodes))\n",
|
||
" for i, row in distance_matrix.items():\n",
|
||
" for j, distance in row.items():\n",
|
||
" \n",
|
||
" distance_array[i][j] = distance\n",
|
||
" return distance_array\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"# Générer la matrice de distances\n",
|
||
"distance_matrix = generate_distance_matrix(graph)\n",
|
||
"\n",
|
||
"# Afficher la matrice de distances\n",
|
||
"print(distance_matrix)\n",
|
||
"\n",
|
||
"\n",
|
||
"print(A)\n",
|
||
"\n",
|
||
"pos = nx.get_node_attributes(graph, 'pos')\n",
|
||
"# Dessiner le graphe\n",
|
||
"nx.draw(graph, with_labels=True)\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 172,
|
||
"id": "301fb5e8-9804-4592-9193-5915f1b9ecad",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Meilleure solution : [0, 43, 28, 39, 20, 12, 13, 11, 21, 24, 3, 46, 22, 14, 19, 5, 7, 18, 36, 15, 8, 38, 29, 30, 31, 44, 6, 41, 26, 34, 9, 1, 35, 33, 40, 2, 45, 4, 23, 49, 50, 37, 27, 25, 42, 47, 48, 16, 17, 10, 32, 0]\n",
|
||
"Distance totale : 62.0\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import time\n",
|
||
"#Nombre de camion\n",
|
||
"num_trucks = 2\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",
|
||
" \n",
|
||
" pheromone = np.ones((num_nodes, num_nodes)) # Matrice de phéromones initiale\n",
|
||
" best_solution = None\n",
|
||
" best_distance = float('inf')\n",
|
||
"\n",
|
||
" start_time = time.time()\n",
|
||
"\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",
|
||
"\n",
|
||
" # Ajouter le retour au dépôt central à la fin du trajet\n",
|
||
" solution.append(0)\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",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
" return best_solution, best_distance\n",
|
||
"\n",
|
||
"\n",
|
||
" \n",
|
||
"num_ants = 10\n",
|
||
"num_iterations = 100\n",
|
||
"evaporation_rate = 0.5\n",
|
||
"alpha = 1\n",
|
||
"beta = 1\n",
|
||
"\n",
|
||
"\n",
|
||
"best_solution, best_distance = ant_colony_optimization(distance_matrix, num_ants, num_iterations, evaporation_rate, alpha, beta)\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"print(\"Meilleure solution :\", best_solution)\n",
|
||
"print(\"Distance totale :\", best_distance)\n"
|
||
]
|
||
},
|
||
{
|
||
"attachments": {},
|
||
"cell_type": "markdown",
|
||
"id": "7e878834",
|
||
"metadata": {},
|
||
"source": [
|
||
"# Calcul de l'évolution du temps en fonction du nombre de villes"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 96,
|
||
"id": "2a019d78",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"x_values = [graph.nodes[x]['pos'][0] for x in best_solution]\n",
|
||
"y_values = [graph.nodes[x]['pos'][1] for x in best_solution]\n",
|
||
"\n",
|
||
"# Création de la figure et des axes\n",
|
||
"fig, ax = plt.subplots()\n",
|
||
"ax.set_aspect('equal')\n",
|
||
"ax.set_xlabel('Coordonnée X')\n",
|
||
"ax.set_ylabel('Coordonnée Y')\n",
|
||
"ax.set_title(\"Tracé du trajet emprunté par les fourmis\")\n",
|
||
"\n",
|
||
"# Tracer le graphe sans les arêtes\n",
|
||
"nx.draw_networkx_nodes(graph, pos=nx.get_node_attributes(graph, 'pos'), ax=ax)\n",
|
||
"nx.draw_networkx_labels(graph, pos=nx.get_node_attributes(graph, 'pos'), ax=ax)\n",
|
||
"\n",
|
||
"# Tracer uniquement le trajet emprunté par les fourmis\n",
|
||
"ax.plot(x_values, y_values, linestyle='-', marker='o')\n",
|
||
"\n",
|
||
"# Tracer une ligne du dernier nœud au premier nœud pour fermer la boucle\n",
|
||
"ax.plot([x_values[-1], x_values[0]], [y_values[-1], y_values[0]], linestyle='-', color='r')\n",
|
||
"\n",
|
||
"# Afficher le graphique\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"attachments": {},
|
||
"cell_type": "markdown",
|
||
"id": "9017d1eb",
|
||
"metadata": {},
|
||
"source": [
|
||
"# Avec un nombre de camion disponible"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 202,
|
||
"id": "23e32e2a",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Meilleure solution : [[48, 16, 36, 11, 49, 42, 37, 30, 38, 29, 46, 18, 15, 27, 3, 39, 0], [2, 47, 35, 31, 13, 12, 14, 23, 21, 24, 28, 9, 33, 6, 10, 4, 0], [45, 20, 22, 26, 44, 1, 7, 32, 17, 19, 25, 41, 5, 43, 40, 34, 0]]\n",
|
||
"Distance totale : 59.0\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import concurrent.futures\n",
|
||
"num_trucks = 3 # Nombre de camions disponibles\n",
|
||
"\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",
|
||
"\n",
|
||
" #if solution[-1] == 0 and len(solution) < num_nodes:\n",
|
||
" #return float('inf')\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",
|
||
"def ant_colony_optimization(distances, num_ants, num_iterations, evaporation_rate, alpha, beta, num_trucks):\n",
|
||
" num_nodes = len(distances)\n",
|
||
" \n",
|
||
" pheromone = np.ones((num_nodes, num_nodes)) # Matrice de phéromones initiale\n",
|
||
" best_solution = None\n",
|
||
" best_distance = float('inf')\n",
|
||
"\n",
|
||
" start_time = time.time()\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 and (node !=0 or len(visited) == num_nodes - 1):\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",
|
||
" \n",
|
||
" roulette_wheel = random.random()\n",
|
||
" probability_sum = 0\n",
|
||
"\n",
|
||
"\n",
|
||
" for node, probability in probabilities:\n",
|
||
" \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",
|
||
" # Ajouter le retour au dépôt central à la fin du trajet\n",
|
||
" solution.append(0)\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",
|
||
" # Séparer la meilleure solution en trajets pour chaque camion\n",
|
||
" truck_solutions = []\n",
|
||
" num_nodes_per_truck = num_nodes // num_trucks\n",
|
||
"\n",
|
||
" for i in range(num_trucks):\n",
|
||
" start_index = i * num_nodes_per_truck\n",
|
||
" end_index = start_index + num_nodes_per_truck\n",
|
||
" truck_solution = best_solution[start_index:end_index]\n",
|
||
" truck_solutions.append(truck_solution + [0])\n",
|
||
" \n",
|
||
"\n",
|
||
" \n",
|
||
" return truck_solutions, best_distance\n",
|
||
"\n",
|
||
"\n",
|
||
"def trucks_thread(i, num_nodes_per_truck, best_solution, truck_solutions):\n",
|
||
" start_index = i * num_nodes_per_truck\n",
|
||
" end_index = start_index + num_nodes_per_truck\n",
|
||
" truck_solution = best_solution[start_index:end_index]\n",
|
||
" truck_solutions.append(truck_solution)\n",
|
||
" return truck_solutions\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"num_ants = 10\n",
|
||
"num_iterations = 100\n",
|
||
"evaporation_rate = 0.5\n",
|
||
"alpha = 1\n",
|
||
"beta = 1\n",
|
||
"\n",
|
||
"best_truck_solutions, best_distance = ant_colony_optimization(distance_matrix, num_ants, num_iterations, evaporation_rate, alpha, beta, num_trucks)\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"print(\"Meilleure solution :\", best_truck_solutions)\n",
|
||
"print(\"Distance totale :\", best_distance)\n",
|
||
" "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 203,
|
||
"id": "106d6902",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Créer une liste de couleurs pour chaque véhicule\n",
|
||
"colors = ['red', 'blue', 'green', 'orange', 'purple'] # Ajoutez plus de couleurs si nécessaire\n",
|
||
"\n",
|
||
"# Création de la figure et des axes\n",
|
||
"fig, ax = plt.subplots()\n",
|
||
"ax.set_aspect('equal')\n",
|
||
"ax.set_xlabel('Coordonnée X')\n",
|
||
"ax.set_ylabel('Coordonnée Y')\n",
|
||
"ax.set_title(\"Tracé du trajet emprunté par les fourmis\")\n",
|
||
"\n",
|
||
"# Tracer le graphe sans les arêtes\n",
|
||
"nx.draw_networkx_nodes(graph, pos=nx.get_node_attributes(graph, 'pos'), ax=ax)\n",
|
||
"nx.draw_networkx_labels(graph, pos=nx.get_node_attributes(graph, 'pos'), ax=ax)\n",
|
||
"\n",
|
||
"# Tracer chaque trajet de chaque véhicule avec une couleur différente\n",
|
||
"for i, truck_solution in enumerate(best_truck_solutions):\n",
|
||
" x_values = [graph.nodes[x]['pos'][0] for x in truck_solution]\n",
|
||
" y_values = [graph.nodes[x]['pos'][1] for x in truck_solution]\n",
|
||
" ax.plot(x_values, y_values, linestyle='-', marker='o', color=colors[i % len(colors)])\n",
|
||
"\n",
|
||
" # Tracer une ligne du dernier nœud au premier nœud pour fermer la boucle\n",
|
||
" ax.plot([x_values[-1], x_values[0]], [y_values[-1], y_values[0]], linestyle='-', color=colors[i % len(colors)])\n",
|
||
"\n",
|
||
"# Afficher le graphique\n",
|
||
"plt.show()"
|
||
]
|
||
}
|
||
],
|
||
"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
|
||
}
|