Dataset for Green Location-routing Problem

This dataset comprises ten adapted benchmark instances derived from the classical Prodhon dataset, along with one dataset based on a real-world logistics case study. The data are specifically designed to support the evaluation of a bi-objective Green Location Routing Problem (GLRP) model that aims to optimize both economic cost and environmental impact (carbon emissions). Each instance includes detailed information on depot locations and capacities, customer coordinates, demand values, time window settings, service durations, and depot fixed costs. These datasets facilitate reproducibility, comparative algorithm evaluation, and further research into sustainable logistics planning under different carbon tax policies. All files are provided in structured .txt format with accompanying documentation.本数据集包含10个改编自经典Prodhon基准数据集的测试实例，外加1个基于真实物流案例研究构建的数据集。本数据集专为支撑双目标绿色选址路径问题（Green Location Routing Problem，GLRP）模型的评估而设计，该模型旨在同时优化经济成本与环境影响（即碳排放）。每个测试实例均包含配送中心位置与容量、客户坐标、需求值、时间窗设置、服务时长以及配送中心固定成本等详细信息。上述数据可保障研究可复现性，支持算法对比评估，并可为不同碳税政策下的可持续物流规划相关研究提供助力。所有文件均采用结构化.txt格式存储，并附带配套说明文档。

搜集汇总

背景与挑战

背景概述

该数据集包含十个改编自经典Prodhon数据集的基准实例和一个基于真实世界物流案例研究的数据集，专门用于评估双目标绿色位置-路径问题模型，以优化经济成本和碳排放。数据集提供详细的仓库和客户信息，包括位置、容量、需求、时间窗口等，以.txt格式存储，支持可持续物流规划研究和算法比较。