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The Optimization Study of the Vehicle Scheduling about Construction Logistics Distribution Based on Genetic Algorithm

机译:基于遗传算法的建筑物流分布的车辆调度优化研究

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The optimization of the vehicle scheduling is a NP-Hard problem. With the expansion of the problem’s dimensions, it was difficult to get the optimal solution by using the exact algorithms solely. This paper studied the vehicle scheduling problem by using the Genetic Algorithm, which was combined with the features of the construction logistics distribution. Then created a model of vehicle scheduling which was suited to Genetic Algorithm. At last, a illustrative example was given to prove that Genetic Algorithm had a better optimize performance.
机译:车辆调度的优化是NP难题。随着问题的尺寸的扩展,难以完全使用精确的算法来获得最佳解决方案。本文通过使用遗传算法研究了车辆调度问题,该算法与建筑物流分布的特征相结合。然后创建了适合遗传算法的车辆调度模型。最后,给出了说明性示例以证明遗传算法具有更好的优化性能。

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