大规模多式联运复杂网络系统模型

与其他优化问题相比，多式联运网络路径优化问题面临着变量较多且其结构、关系复杂的困扰．然而，现有的多式联运网络只能对网络属性逐一计算，难免重复冗余，效率偏低，只适用于小型网络．提出了不规则棱柱网络模型．采用相对编码设计，通过搜索判断余子式进行网络初始化，将网络中不同类别的弧线解释成满足某种约束条件的量，通过设计底边判断函数和侧棱判断函数，实现了网络中弧线的智能分类．该模型取消了运输网络阶段划分的限制；其节点与现实运输的地理坐标相对应；分类判断可以对网络进行群体修建与更新．通过对比各网络的时间频度，说明在多属性变量复杂且多样性的大规模多式联运网络中，该网络能够极大地提升网络构建和更新效率．

The system model of large-scale and high complex net of multimodal transport

Compared to other problems of optimization, the path optimization of multi- modal transport is troubled by some facts such as the complexity of structure and the re- lation of many variables. However,with the existing net of multimodal transport,varia- bles can be valued only one by one, causing the low efficiency with repeat and redundan- cy, which could just be applied on small-size network. Therefore, a net called irregular prism network is proposed. In the net, relative coding is designed, and the net is initial- ized by search and judge complementary minor, and based on the method that different kinds of edges are explained as the variables which satisfy certain constraint conditions, base-edge-judge function and side-edge-judge function are designed to classify the edges intelligently in net. Besides, the division of the stage of the transport is cancelled, and points are placed according to real geographical coordinates of city, and the net can be in- tegrated constructed, updated through classified judge. Finally, by comparing the time frequency of all the nets in the example and large-scale network,it is illustrated that in the large-scale net with divers and high complex variables,network can be applied to in- crease the efficiency of construction and updating.