College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.
Math Biosci Eng. 2022 Aug 1;19(11):10864-10881. doi: 10.3934/mbe.2022508.
In order to solve the problem that the scheduling scheme cannot be updated in real time due to the dynamic change of node demand in material emergency dispatching, this article proposes a dynamic attention model based on improved gated recurrent unit. The dynamic codec framework is used to track the change of node demand to update the node information. The improved gated recurrent unit is embedded between codecs to improve the representation ability of the model. By weighted combination of the node information of the previous time, the current time and the initial time, a more representative node embedding is obtained. The results show that compared with the elitism-based immigrants ant colony optimization algorithm, the solution quality of the proposed model was improved by 27.89, 27.94, 28.09 and 28.12% when the problem scale is 10, 20, 50 and 100, respectively, which can effectively deal with the instability caused by the change of node demand, so as to minimize the cost of material distribution.
为了解决物资应急调度中由于节点需求的动态变化导致调度方案无法实时更新的问题，本文提出了一种基于改进门控循环单元的动态注意力模型。该模型使用动态编解码器框架来跟踪节点需求的变化，以更新节点信息。在编解码器之间嵌入改进的门控循环单元，以提高模型的表示能力。通过对前一时间、当前时间和初始时间的节点信息进行加权组合，得到更具代表性的节点嵌入。结果表明，与基于精英策略的移民蚁群优化算法相比，当问题规模分别为 10、20、50 和 100 时，所提出模型的解决方案质量分别提高了 27.89%、27.94%、28.09%和 28.12%，能够有效应对节点需求变化带来的不稳定性，从而最小化物资配送成本。
