关于物流配送中心供需优化选址仿真

Simulation of Supply and Demand Optimization Location of Logistics Distribution Center

研究物流配送中心选址问题,是为了更加有效的节约运输成本,选择最优的路径进行配送。配送中心的选址是物流系统规划中的重要决策问题,也是物流调动中心的核心问题。传统的解决方法已经无法在实际实施中得到较优的方案,不利于实际应用。为了快速得到合理的配送中心,解决物流配送中心选址问题,提出一种改进狼群算法求解物流配送中心选址问题。首先,建立了物流配送中心选址模型。然后,在基本狼群算法中,引入扰动操作、不确定的奔袭和围攻步长,可以提高算法的求解精度。最后,通过仿真说明提出的改进狼群算法不但可以有效地求得问题的最优解或者近似最优解,优化物流配送中心选址模型,而且能够为优化物流配送中心选址问题提供新的途径和方法。

To Study the logistics distribution center location problem is to reduce the transportation cost more effectively and to choose the best path for distribution. The location of the distribution center is an important decision - making problem in the logistics system planning, and it is also the core problem of the logistics transfer center. The traditional solution is unable to obtain better scheme in the actual implementation, which is not conducive to practical application. In order to get a reasonable distribution center and solve the problem of logistics distribution center, an improved wolf pack algorithm was proposed to solve the problem of logistics distribution center location. First of all, a logistics distribution center location model was established. Then, in the basic wolf pack algorithm, the perturbation operation, uncertain raid and siege step were adopted to improve the accuracy of the algorithm. Finally, simulation experiments illustrate that the proposed improved woff pack algorithm can not only effectively obtain the optimal solution or the approximately optimal solution of the problem and optimize the logistics distribution center location model, but also provide a new way and method for optimizing the logistics distribution center location problem.