基于改进蚁群算法的物流协同配送路线优化

2017 6th International Conference on Industrial Technology and Management (ICITM) Pub Date : 2017-03-01 DOI:10.1109/ICITM.2017.7917892

Jianxin Wang, Yu Yang, N. Zhang, Tong Wang

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引用次数: 2

摘要

正向物流和逆向物流协同配送可以提高车辆装载效率，是减少碳排放的有力途径。本文首先从理论上进行了研究，提出了一种正向和逆向物流协同配送模型。其次，根据与配送成本密切相关的配送距离、实际负荷和燃油消耗来设计优化目标。此外，利用对称旋转和量子门旋转的机制来改进蚁群算法。并解决了正向物流与逆向物流协同配送的问题。最后，通过案例分析说明了模型的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimization of logistics collaborative distribution routing based on improved Ant Colony Algorithm

Forward logistics and reverse logistics collaborative distribution is a powerful way to reduce carbon emission because the vehicle loading efficiency can be improved. Firstly, this paper study the theoretically and proposes a forward and reverse logistics collaborative delivery model. Secondly, Design optimize the target is based on distribution distance, actual load and fuel consumption which are closely related to distribution cost. Moreover, use the mechanism of the symmetry rotation and the quantum gate rotation to improve the Ant Colony Algorithm. And to solve the forward logistics and reverse logistics collaborative distribution problem. Finally, Case study is provided to illustrate the application of the proposed model.

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2017 6th International Conference on Industrial Technology and Management (ICITM)

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