Multi-objective Distribution Route Optimization Of Fruit,Vegetable And Agricultural Products With Time Window

As the adjustment of agricultural structure and to improve the quality of life of residents,fruit and vegetable continues to increase agricultural production in our country fruit and vegetable agricultural products logistics industry has entered a rapid development stage,fruits and vegetables in the process of the agricultural products from harvest to sales,about over three-quarters of the time in the shipping transportation links,shipping transportation as an important branch of agricultural products logistics fruit and vegetable,How to use scientific models and methods to study a reasonable logistics distribution route is of vital importance to the logistics development of fruit,vegetable and agricultural products enterprises.Starting from theoretical research and practical application,this paper studies the mathematical modeling and algorithm of the logistics distribution problem of S enterprise.The main contents are as follows:(1)According to the actual research data,analyze the logistics process and distribution characteristics of fruit and vegetable agricultural products of S enterprise,study the current problems of the enterprise and map them into the model research,and study the various factors in the mathematical modeling of the path optimization problem of fruit and vegetable agricultural products.(2)Deterine the elements of mathematical modeling and study the objective function.Existing researches on fruits,vegetables and agricultural products pay more attention to the hard time window and only consider the cost objective.In order to make the model more practical,this paper analyzes the soft time window problem by studying the VRPTW modeling method.In order to balance and guarantee the enterprise cost,driving safety,customer demand and product quality to the maximum extent,the load rate,number of vehicles,customer time and fatigue driving factors were considered comprehensively,and the multi-objective optimization method was studied to transform the model objective,and a multi-objective VRPTW mathematical model was established.(3)According to the advantages and disadvantages and applicability of each artificial intelligence algorithm,genetic algorithm was determined as the model solution method to conduct research and design on chromosome coding,population initialization,fitness function,selection operator,crossover operator,mutation operator,termination condition,etc.(4)based on the enterprise actual distribution data,S practical problems set parameter set,using MATLABR2017b programming,algorithm efficiency and optimization test,the test algorithm to model the mutual restriction relation between the target and the correctness of the program,S enterprise path optimization model,the optimized path scheme is compared with the original path,reduce the use of 2 car,Cubed out increased by 18.425%,vehicle arrives customer point number of unpunctuality phenomenon by 7 down to 1,the total distribution costs reduced 282.611 yuan,the rationality of the model and the solution is verified and the feasibility of the algorithm to solve the complex model,provides sophisticated vehicle routing problem with reference value,at the same time provide important decision support for the agricultural products logistics development.