Research On Route Optimization Of Dry Bulk Multimodal Transportation Based On Comprehensive Genetic Algorithm

With the rapid development of China’s social economy,the total freight volume is also increasing.Reasonable supply of dry bulk goods is a necessary condition for normal operation of China’s economy.In the process of dry bulk cargo transportation,the operation efficiency of using a single transportation mode is low,and the comprehensive cost is relatively high,and the rapid development of dry bulk cargo demand industry is increasingly difficult to meet.In this context,the multimodal transport mode,which integrates the advantages of various modes of transport,represents the most advanced level of transport organization and can significantly improve the efficiency and benefits of the overall system of cargo transport.The construction of scientific and reasonable dry bulk multimodal transport system needs to study practical problems and theoretical ideas and put forward solutions.Dry bulk cargo port,as the hub of dry bulk cargo logistics center with the largest quantity,the largest area and the most complex production and trade process,bears the shipping business of bulk dry bulk cargo to a certain extent.This paper analyzes the shipping route status of dry bulk cargo ports and various costs of dry bulk cargo transportation,builds a model and designs a comprehensive genetic algorithm to solve the optimization problem of dry bulk cargo multimodal transportation path,and designs and implements the optimization system of dry bulk cargo multimodal transportation path.The main work is reflected in the following aspects:(1)Firstly,the paper analyzes the shipping path of dry bulk goods,and analyzes the status quo of city nodes and routes in the shipping path.The transportation cost of dry bulk multimodal transportation is studied,and the economic cost,time cost and external cost of road,railway and waterway transportation are analyzed to provide theoretical and data support for the construction and solution of the model in the following paper.(2)According to the characteristics of dry bulk multimodal transportation path planning,reasonable assumptions are made,objective functions and constraints are designed,a dry bulk multimodal transportation path optimization model is constructed,and a comprehensive genetic algorithm based on genetic algorithm combined with simulated annealing algorithm is designed.An example is designed based on the historical dry bulk shipment data and multimodal transport data.The integrated genetic algorithm is used to solve the established model,and the actual historical data of dry bulk ports are used to test the algorithm results,and the feasible conclusion of the model and algorithm is obtained.(3)Based on the needs of dry bulk port cargo owners and port staff as well as the model and algorithm constructed in the previous paper,the dry bulk multimodal transportation path optimization system is designed and implemented.Make dry bulk multimodal transportation path planning more intelligent.The system adopts the idea of front-end and back-end separation,and integrates the comprehensive genetic algorithm,so that it can be applied in the dry bulk multimodal transportation path optimization system.In this paper,genetic algorithm and simulated annealing algorithm are introduced into the path optimization problem of dry bulk multimodal transportation,and a solution is provided for the path optimization problem of dry bulk multimodal transportation,which enrichis the related theories of dry bulk multimodal transportation path optimization.The dry bulk multimodal transportation path optimization system designed and implemented meets the actual needs of dry bulk ports and dry bulk shippers for shipment,realizes the efficient integration of the overall resources in the process of dry bulk transportation,and improves the optimal allocation of resources related to dry bulk transportation.