Neural networks for optimized reverse logistics network: If collection is end of life

To preserve the environment, a number of industrial countries is established legislative laws that encourage the development of the diversity of activities and the definitions given in this type of logistics, its design and its management are very complicated. We have demonstrated the efficacy of neural network tried using the programming language level MATLAB; generate a database containing all the necessary data to ensure learning neural networks, reverse logistics. Given works to obtain the best solutions.