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This an implementation of the paper proposed by Niu et al. in 2021, entitled "An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand".
This MATLAB code (implemented in 2011) provides solutions to the VRP using various optimization algorithms including bee colony algorithm, simulated annealing algorithm, genetic algorithm, tabu search algorithm, and particle swarm optimization algorithm.
This is the milestone of what we have done in the SURF program of XJTLU @2022 summer. The program is still on developing so the source code is hidden from public. The poster is just for displaying the stage result in the summer.
Résolution à l'aide du problème de tournée des véhicules (VRP) à l'aide d'algorithmes heuristiques. Utilisation de l'algorithme Clarke and Wright doublé d'un algorithme de recherche local (2opt) et d'une heuristique faite main, plus globale. Travail effectué dans le cadre des TIPE en classes préparatoires.