GA for New Logistics Distribution Routing Optimization Model with Practical Application

In this study, a new model is presented for logistics distribution routing optimization. The proposed model is capable of solving problems which we could encounter in practical applications. Problems simulated in this study include: the demand of the store is not restricted; a store's demands could from different depots; none strict constrains oil working time; none strict constrains on vehicle capacity; constrains on distribution rules; transverse impedance of roads; traffic control in intersections etc. We select GA which is designed to search for, discover and emphasize good solutions by applying selection and crossover techniques, inspired by nature, to test the proposed model. The test results indicate that the optimization model is of good maneuverability and instruction. At last we list out the defects of the algonthrm and put forward the improvement in future.