基于地域特征的物流仓储中心逆向选址算法

物流仓储中心地址的选取，从根本上决定了物品出发地和运达地之间的距离，直接关系到物品能否被及时高效地运输，以及配送成本和仓储成本能否最小化。针对传统物流仓储中心选址求解算法脱离实际应用、且容易出现局部最优、求解速度较慢和注意力单一等问题。为减少物流配送时间，降低物流成本，切实提出选址解决方案，通过对K均值聚类算法和帝王蝶优化算法进行改进，研究了京津冀地区物流仓储中心的选址问题。实验仿真结果表明，提出的改进帝王蝶优化算法较其他优化算法在求解精度、收敛速度和迭代次数上均有优势，能够有效完成物流仓储中心选址问题，切实可以缩短物流配送距离，提高物流配送效率。

Reverse location algorithm of logistics and storage center based on regional characteristics

The location selection of logistics and storage center fundamentally determines the distance between the origin and arrival of goods, which is directly related to whether goods can be transported in a timely and efficient manner, as well as whether distribution costs and storage costs can be minimized. Traditional logistics and warehousing center location solving algorithm is divorced from practical application, and prone to local optimization, slow solving speed and single attention and other problems. In order to reduce the logistics delivery time and logistics cost, and put forward a practical solution for location selection, this paper studied the location selection of logistics storage center in Beijing-Tianjin-Hebei region by improving k-means clustering algorithm and monarch butterfly optimization algorithm. Experimental simulation results show that compared with other optimization algorithms, the improved Monarch optimization algorithm has advantages in solving accuracy, convergence speed and iteration times, and can effectively complete the site selection of logistics storage center, effectively shorten the distance of logistics distribution and improve the efficiency of logistics distribution.