Improved Ant Colony Optimization Algorithm Solve Logistics Distribution Center Allocation
The rational layout and location of logistics center has a great impact on the function and overall profit of it. In this paper, according to the characteristics and requirements in the selection of the location, an improved ant colony algorithm is applied to the location selection. A dynamic local updating rule is presented in later cycle. Reduce the pheromone of the routes that are not selected by ants, increase the difference between the better routes and the worse routes, enhance the convergent speed of the algorithm and decrease the run time. The calculation results show that the improved ant colony algorithm has good performance, and it is available to solve distribution center location selection.
logistics distribution center location improved ant colony algorithm
Xiao Jian-mei Wang Xi-huai Fu Yu
College of Logistics Engineering, Shanghai Maritime University, Shanghai 200135, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
2745-2749
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）