基于遗传算法的多式联运应急管理研究

实现在多式联运中实现运输时间和运输费用的最小化，多式联运运输方式选择问题直接关系到货物运输的费用和时间。首先分析了多式联运运输方式选择多目标优化问题的数学模型及虚拟运输网络图；其次，用遗传算法来解决多目标化问题，给出了染色体编码，遗传算子的设计，适应度函数定义；最后通过示例来演示，通过遗传算法来解决多式联运多目标优化的问题。实验表明，将此算法用于多式联运应急管理与传统算法相比，能加速进化速度和多角度寻优能力，提高应急决策。

The Emergency Decision System Research in Multimode Transportation and based on Genetic Algorithm

To achieve the realization of inter-modal transport in time and transport costs of the minimum,Firstly,the mathematics model and virtual transportation network for multi-object optimization of transportation modes selection in multimode transportation is analyzed.Secondly,Genetic algorithm is used solve the problem of Multi-Objective Optimization,The design of chromosome coding,genetic operators and Fitness Function is also proposed.Finally,an example to demonstrate through genetic algorithms to solve the multi-objective optimization of the multimodal transport problems.Experiments show that,This algorithm for multimodal transport emergency management compared with the traditional method,can accelerate the evolution of speed and multi-angle optimization capabilities, improve emergency response decision-making.