具有模糊时间窗的多模式联运建模及优化

摘要

以考虑用户偏好的模糊时间窗多式联运为研究对象,建立了基于图状结构的模糊时间多式联运模型.在分析模型特征的基础上,设计了基于正交试验的混合田口遗传算法实现路径及运输方式的组合优化.通过考虑不同用户偏好的5个任务来考察模型和优化算法的有效性.计算结果表明,该算法能有效求解出满足用户偏好的路径及运输组合方式,为物流企业决策提供依据.%The problem of modeling and optimization of multimodal transportation with fuzzy time window is discussed in this paper. Based on a network description for this problem, an optimization model is presented for it. After analyzing the characteristics of the model, a hybrid Taguchi genetic algorithm is then proposed to solve the problem. It optimizes the transportation routes and the combination of means of transportation. An example with five orders that have different fuzzy time windows is use to show the effectiveness of the proposed method. Numerical results show that it is efficient and satisfied result can be obtained.