The Optimization Of Logistics Distribution Technology Research And Application

The path optimization problem, this paper mainly studies the logistics distribution is more consistent place starting point, can be summarized as a combinatorial optimization problem, and uses genetic algorithm to find the optimal solution, the optimal loading route. To solve the logistics vehicle loading problem, there are a variety of solutions, but in the practical application of these methods are slow, reaction such as runtime flexibility, operability and other aspects of the problem, for these problems, this paper proposes using the analytic hierarchy process to optimize the load modeling, the better the qualitative analysis and the combined with the quantitative method, is a kind of simple, the results and make customers satisfied, for the development of logistics in the future, have certain reference significance.This article first carries on the analysis to the logistics distribution optimization, aiming at the path optimization problem, using the MATLAB software to realize the analysis and comparison of the simulation results of genetic algorithm, the parameter of the simulation model of logistics vehicle loading, and the establishment of a pre loading value measurement model, results can be validated loading optimization model to solve the complex problem the real part is difficult to quantify.