改进蚁群算法优化通用器材配送路径

为实现武器装备器材在运输供应路线的精确化保障，对基于蚁群算法的通用器材配送路径供应模式进行 改进。针对传统蚁群算法在初始目标选择、信息素更新等方面存在的局限性，依据蚁群算法的原理与机制设定，建 立配送路径数学模型，从3 个方面进行算法改进，优化了器材从供应中心到各个仓库的配送路径，并对案例进行仿 真测试和分析。实验结果表明，该路径能确保通用器材适时、高效地送到各个仓库。

Delivery Path Optimization for General Equipments by Improved Ant Colony Algorithm

In order to ensure the precise supply of weapon equipment in transportation route choosing, the general equipment supply mode based on ant colony algorithm is improved. Aiming at the limitation of traditional ant colony algorithm in choosing initial targets and updating information data, the algorithm is improved from 3 aspects. Based on the principle and mechanism of ant colony algorithm, the mathematical model of distribution path is established, and the algorithm is improved to optimize the equipment supply from the supply center to each warehouse, and then simulation analysis is performed. The results show that the modified path can deliver the equipment to each warehouse in a timely and efficient manner.