دانلود رایگان مقاله انگلیسی حالت توزیع ترمینال لجستیک و بهینه سازی مسیر بر اساس الگوریتم کلونی مورچه - اشپرینگر 2018

Abstract

In order to discuss the logistics distribution that directly affects the satisfaction of consumers for the entire online shopping activities, this article mainly studies the logistics terminal distribution mode and path optimization, and combined with the application of ant colony algorithm in the traveling salesman problem, analyses the basic principle and implementation process of ant colony algorithm. In addition, through reference to map and field research, we consider the route length and road conditions (slope and congestion) of the the regional distribution point, and collect and draw the geographic information surrounding area A. Moreover, some key parameters in ant colony algorithm in value are chosen, and with the collected information as a concrete example, MATLAB simulation is carried out for the logistics terminal distribution path optimization based on ant colony algorithm, and its scientific nature and feasibility are verified. The simulation results showed that the ant colony algorithm has good feasibility so that it can be widely applied. As a result, it is concluded that the application of ant colony algorithm has great significance in the exploration of the logistics terminal distribution path optimization.

6 Conclusion

The logistics terminal distribution, as the ‘‘last mile’’ of the logistics link, whether the delivery service model is appropriate or whether the efficiency of delivery can meet customer expectations, will directly affect the consumers’ satisfaction for the entire online shopping activities. And it has become an important factor affecting the rapid development of electronic commerce. Through the analysis of the successful case (TSP) of ant colony algorithm, the basic principle and the implementation process of the ant colony algorithm are expounded. In the process of path optimization, slope and congestion are considered, and the MATLAB experiment simulation is carried out on the logistics terminal distribution path optimization algorithm. With map search and field visits research methods, we comprehensively consider the physical route distance and road condition between each distribution point in the area. Moreover, we collect and draw the geographic information around the area A. We select 7 virtual distribution points, and choose some key parameters of ant colony algorithm. MATLAB simulation is carried out on optimization of e-commerce logistics terminal distribution path based on ant colony algorithm with specific examples, which verifies the feasibility and scientific nature.