多周期第四方物流集成反馈网络设计的模型与算法

Modeling and Algorithm of Multi-cycle Fourth Party Logistics Integrated Feedback Network Design

本文研究了多周期第四方物流集成反馈网络设计问题,并考虑3PL运输供应商的信誉等级变化对整体网络配送完成率的影响。通过设计反馈调节机制和信誉评价体系,建立多目标规划模型来描述该问题。针对基本蚁群算法的不足和本问题的特点,设计奖惩蚁群算法,该算法通过增加奖惩因子,提高算法的收敛速度和全局搜索能力,有效避免了算法陷入局部最优。仿真实验结果表明了模型的合理性和奖惩蚁群算法的有效性。

This paper studies the design of multi-cycle fourth-party logistics integrated feedback network,and the impact of the change in the reputation level of the 3PL transportation supplier on the overall network distribution completion rate is considered.By designing feedback mechanism and reputation evaluation system,a multi-objective programming model is established.For the defects of basic ant colony algorithm(ACO)and characteristics of the problem,a reward and punishment and colony algorithm(RPACO)is proposed.Under the reward and punishment factors,the algorithm's convergence speed and global search ability are improved,and the algorithm is effectively prevented from falling into a local optimum.Finally,simulation results show the rational⁃ity of the model and the effectiveness of RPACO.