Abstract:

Distribution center location choosing is very important in the transportation support. Location choosing is a typical NP-Hard problem, and it’s very hard to  answer large scale optimization problem. The paper combined the evolutionary algorithm DE and EDA, which can take full advantage of fast convergence of DE and the global search of EDA to solve the problem of military container distribution center location choosing. At last, compared to the fashionable algorithm GA, the results validate the efficiency of the proposed algorithm.          

Key words: military container;DE;EDA;GA;distribution center location choosing