给出了分组优化建模实例。
第五，大规模随机运输网络优化建模及算法。
Fifthly, optimization model and its algorithm for large-scale stochastic transportation network are studied.
该方法构造了滚动时间窗，利用滚动时间窗内的数据优化建模。
In this method, a sliding time window is built and data in the sliding time window are employed to construct the dynamic model of a system.
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