说明：  在提高训练中我们主要针对时序图分析，现代智能优化算法（遗传算法和蚁群算法），动态规划，排队理论，目标规划，层次分析以及决策论等相关理论做了比较深刻的了解。然后针对具体情况，具体问题进行建模训练，并加以上机实习。
(In training, we aimed to improve timing diagram analysis, modern intelligent optimization algorithm (genetic algorithm and ant colony optimization), dynamic programming, queuing theory, goal programming, hierarchical analysis, and decision theory and related theories do a deeper understanding. And specific circumstances, specific issues to model training, and add more machines internship.)