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Vehicle Routing and Scheduling Optimization of Ship Steel Distribution Center under Green Shipbuilding Mode

机译:绿色造船模式下船舶钢铁配送中心的车辆路由和调度优化

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摘要

Timeliness of steel distribution centers can effectively ensure the smooth progress of ship construction, but the carbon emissions of vehicles in the distribution process are also a major source of pollution. Therefore, when considering the common cost of vehicle distribution, taking the carbon emissions of vehicles into account, this paper establishes a Mixed Integer Linear Programming (MILP) model called green vehicle routing and scheduling problem with simultaneous pickups and deliveries and time windows (GVRSP-SPDTW). An intelligent water drop algorithm is designed and improved, and compared with the genetic algorithm and traditional intelligent water drop algorithm. The applicability of the improved intelligent water drop algorithm is proven. Finally, it is applied to a specific example to prove that the improved intelligent water drop algorithm can effectively reduce the cost of such problems, thereby reducing the carbon emissions of vehicles in the distribution process, achieving the goals of reducing environmental pollution and green shipbuilding.
机译:钢材配送中心的及时性能够有效地保证船舶建造的顺利进行,但在分配过程中车辆的碳排放也是环境污染的主要来源。因此,考虑到整车配送的共同成本时,以车辆的碳排放量考虑,本文建立所谓的绿色物流配送车辆调度问题的同时皮卡和交付和时间窗口的混合整数线性规划(MILP)模型(GVRSP- SPDTW)。智能水滴算法被设计和改进的,并且与遗传算法和传统智能水滴算法进行比较。改进的智能水滴算法的适用性被证明。最后,它被施加到一个具体的例子,证明改进的智能水滴算法可以有效地减少这种问题的成本,从而减少在分配过程的车辆的碳排放,实现减少对环境的污染和绿色造船的目标。

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