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BUS REGIONAL SCHEDULING MODEL BASED ON IMPROVED GENETIC ALGORITHM

机译:基于改进遗传算法的公交区域调度模型

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According to the characteristic of bus regional scheduling optimization problem, the multi-objective optimization model with the minimization of the total number of vehicles and the total vehicle idle running time as objects was established, considering time window, the driver and vehicle limits on constraints. And the improved genetic algorithm was developed to solve the model. Actual application shows that the model and algorithm can quickly obtain the satisfactory solution of bus regional scheduling optimization scheme, which being worthy of popularizing.
机译:根据公交区域调度优化问题的特点,建立了以车辆总数和车辆怠速运行总时间最小为目标的多目标优化模型,并考虑了时间窗,驾驶员和车辆的约束条件。并开发了改进的遗传算法对模型进行求解。实际应用表明,该模型和算法可以快速获得公交区域调度优化方案的满意解,值得推广。

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