Research on energy optimization of multimodal transportation for automobile logistics based on genetic algorithm

摘要

With the rapid development of automobile logistics, the optimization of multimodal transportation is notable. The characteristics of multimodal transportation for automobile logistics are summed through analyzing the connotation and operational advantages. The important factors of the energy optimization, such as mileage, time, cost etc are concluded after detailed discussion. Then multi-objective energy optimization model of multimodal transportation for automobile logistics is built based on operational research, which overcoming the deficiency of many simple-objective models. Given the difficult of solution, the genetic algorithm is introduced. Finally, an example of multimodal transportation for A company is put forward, which can prove the feasibility and validity of the model.