Reproducibility dataset for a new family of mixed-integer programming model for irregular strip packing based on vertical slices
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This dataset introduces a detailed reproducibility protocol to allow the exact replication of the experiments on Mixed-Integer Programming (MIP) model for irregular strip packing reported in our primary work. Likewise, this dataset provides all raw output data from our experiments used in our primary work. Our reproducibility protocol is based on our RAMNEST V1R3 Java software library of MIP models for irregular strip packing. Our software library implements our new family of NFP-CM-VS MIP models for irregular strip packing and the family of state-of-the-art NFP-CM models introduced by Cherri et al. (2016) and Rodrigues et al. (2017). We evaluate all MIP models in 35 small problem instances, 24 metal instances including pieces with holes, and 11 large problem instances, as detailed in the experimental setup of our work. All MIP models are implemented in our Java software library and solved using the Java API of Gurobi 9.5 with its default parameters. Thus, the use of our software requires the installation of an academic or commercial license of Gurobi 9.5 for UBUNTU. This dataset includes the Java source code and pre-compiled binaries of our software library developed with Netbeans 8.2 for UBUNTU. We also provide all MIP models in LP file format, which allows reproducing our experiments without our software by loading them into Gurobi, or any other MIP solver as CPLEX.
本数据集提供了详细的可复现性规程,可实现我们前期研究中针对不规则条带排样的混合整数规划(Mixed-Integer Programming, MIP)模型相关实验的精准复现。此外,本数据集还包含我们前期研究中所用实验的全部原始输出数据。
我们的可复现性规程基于用于不规则条带排样的MIP模型的RAMNEST V1R3 Java软件库。该软件库实现了我们提出的新型NFP-CM-VS系列MIP模型,以及Cherri等人(2016)与Rodrigues等人(2017)提出的当前最先进的NFP-CM系列模型。
我们在35个小规模问题实例、24个包含带孔工件的金属工件实例,以及11个大规模问题实例中对所有MIP模型进行了评估,具体评估细节详见我们研究中的实验设置部分。
所有MIP模型均在我们的Java软件库中实现,并使用Gurobi 9.5的Java API结合其默认参数完成求解。因此,使用本软件需在Ubuntu系统中安装Gurobi 9.5的学术或商业许可证。
本数据集包含使用NetBeans 8.2在Ubuntu系统下开发的本软件库的Java源代码与预编译二进制文件。我们还提供了全部MIP模型的LP文件格式版本,用户无需借助本软件,即可将其导入Gurobi或CPLEX等其他MIP求解器中复现我们的实验。
创建时间:
2023-06-07



