不确定条件下城市餐厨垃圾收集网络的两阶段鲁棒模型

Kun Xu, M. Zheng, X. Liu
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引用次数: 1

摘要

本文研究了城市餐厨垃圾收集网络中车辆选择和路线规划问题。考虑到道路上服务需求的不确定性和穿越成本的不确定性,建立了一个双目标两阶段二元鲁棒模型,以得出具有成本效益和公众友好的收集车辆策略。一个目标是最小化最坏情况下的总成本,而另一个目标是最小化环境负效用。提出了一种基于$\epsilon$约束法和改进的列约束生成算法相结合的求解程序来求解该模型。最后通过实例验证了鲁棒模型和求解过程的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Two-stage Robust Model for Urban Food Waste Collection Network Under Uncertainty
In this paper, the vehicles choosing and routes planning problem in the urban food waste collection network is addressed. Considering service demands uncertainty and traversing costs uncertainty on roads, a bi-objective two-stage binary robust model is formulated to derive cost-effective and public-friendly strategies for collection vehicles. One objective is to minimize the worst-case total cost, while the other minimizes the environmental-disutility. A solution procedure based on the combination of the $\epsilon$-constraint method and the modified column-and-constraint generation algorithm is developed to solve the model. A case study is finally performed to validate the effectiveness of the robust model and the solution procedure.
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