基于改进灰狼优化算法的区域物流配送点优化分配方法

Optimized Distribution Method of Regional Logistics Distribution Points Based on Improved Grey Wolf Optimization Algorithm

物流配送通常是选择就近配送,某区域范围内的物流配送点选择方式对提高物流配送质量具有重要意义。为选择最佳区域物流配送点,降低整个物流系统的运输成本,提高其速度,提出基于改进灰狼优化算法的区域物流配送点优化分配方法。定义单独分配指标的隶属度,以边缘评价设定目标函数边界值,划分物流配送点区域范围。基于改进灰狼优化算法构建位置分配模型,获取区域分配最优解。根据聚类分区情况,优化分配区域物流配送点。以10个物流配送点为测试条件,测试配送点优化效果。实验结果表明:所提方法能够进行合理规划,在分配点选择时具有搜索性,以更加简单的分配形式完成分配,降低了物流配送的成本,提高了配送速度。

Logistics distribution usually follows the principle of proximity distribution,and the selection of logistics distribution points within a certain region is of great significance to improve the quality of logistics distribution.In order to select the best regional logistics distribution point and reduce the transportation cost and improve the speed of the entire logistics system,an optimal allocation method of regional logistics distribution points based on improved gray wolf optimization algorithm is proposed.The membership degree of the independent allocation index is defined,the boundary value of the objective function with the edge evaluation is set,and the regional scope of the logistics distribution points is divided.Based on the improved gray wolf optimization algorithm,the location allocation model is constructed to obtain the optimal solution of area allocation.According to the clustering division,the distribution of regional logistics distribution points is optimized.10 logistics distribution points are used as test conditions to test the effect of distribution point optimization.The experimental results show that the proposed method can plan it reasonably,is searchable in distribution point selection,can complete distribution in a simpler distribution form,reduce the cost of logistics distribution and improve the speed of distribution.