The Research Of Meet-all Distribution Mode Based On Ant-colony Algorithm

In the environment of global economic integration, our economic has developed rapidly. As "the third profits source", Logistics plays a more and more important role in promoting our entire national economy. Logistics distribution, which is directly associated with consumers, occupies extremlely proportion in the cost of logistics activities. With the increasing competition in the retail market, distribution efficiency has become the core of competition among enterprises.In order to get the balance between meeting users needs and reducing the company costs, enterprises must choose a reasonable distribution route,this is very important for reducing the cost of the business.How to use the existing resources to minimize the costs and maximize the profits is the developmental direction of logistics,which has become the focus of economists.How to develop a reasonable distribution plan and distribution lines in the distribution business is an important indicator in measuring distribution level. Using scientific and reasonable method to make the optimal distribution line which is used to control the speed of delivery, costs and other factors to get maximum benefit, is a very important logistics and distribution activity.This paper is around the logistics distribution path optimization of Meet-All. After deep researching on the path optimization method of logistics distribution and comparing advantage between precise type algorithm and heuristic algorithm, it uses the ant colony algorithm to solve the problem of logistics distribution path optimization. Through comparing the domestic and foreign research distribution path optimization model, it establishes VRP mathematical model of logistics distribution optimization and defining the related variables, constraints, the objective function, etc. Finally, it uses the ant colony algorithm to solve the practical problems of Meet-All, and also proposes relevant suggestions for improving the classical ant colony algorithm.This article comprehensively uses theoretical analysis and empirical research method. After qualitatively studying on logistics distribution theories, it gives the best distribution path optimization method based on the ant colony algorithm for Meet-All. The result is beneficial to not only supermarket enterprises, but also other industries that related.