The Research On The Optimization Of Multimodal Trans-Port Based On Hybrid Genetic Algorithm

The Optimization of multimodal transport in international logistics service is becoming more and more important, it has become an important segmen of modern transportation systemt.The topic about the optimization of multimodal transport has been urgently asked to be researched.The study about the optimization of Multimodal Trans—Port logistics not only has relationship with the time,cost and quality of trans-port, but also relates to the logistics efficiency,service level and competition ability. Using hybrid genetic ant colony algorithm for multimodal transport can realize that the optimization algorithm is more effective than other intelligent algorithms.This paper studied the multimodal transport regional path choice,the appropriate fusion of genetic algorithm and ant algorithm and the optimization of multimodal transport model.The article is divided into five chapters:The first chapter outlines the research status and significance of the study on multimodal transport optimization.The second chapter summarizes the basic knowledge and theory about multimodal transport, including the selection of positioning-transport (LRP) routes and the construction of virtual transportation network diagram.The third chapter presents the basic knowledge and theory of ant algorithm and genetic algorithm.And present the advantages and disadvantages of ant algorithm and genetic algorithm.Constructed the new fusion algorithm feasible that the hybrid genetic algorithm.The fourth chapter using hybrid genetic algorithm basic on MATLAB programs to realize the optimization of multimodal transport and test the feasibility and availability of the hybrid genetic algorithm by emulate experiment.The fifth chapter summarizes up to full text of multimodal transport, and put forward on further research on the optimization of the multimodal transport.