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工具更换问题计算研究的代码与数据仓库

Code and Data Repository for A Computational Study of the Tool Replacement Problem

INFORMS journal on computing · 2025
被引 0
人大 BUTD24ABS 3

中文导读

该软件比较了IGA、IGA-bit、IGA-full和KTNS四种算法在工具更换问题上的表现,基于两个数据集共15个问题实例,生成了大量作业序列进行实验。

Abstract

This software aims to compare IGA, IGA-bit, IGA-full and KTNS algorithms for the Tool Replacement Problem. The experiments were conducted on a server running a 64-bit Windows 10 operating system, equipped with Intel(R) Core i5 CPU 2.6 GHz and 4 GB of RAM. To compare the algorithms for each of the 10 problem instances of data sets from Catanzaro et al. we generate 105 job sequences. Additionally, for each of the 5 problem instances of data sets from Mecler et al. we generate 2·105 job sequences.

计算机科学算法比较工具更换问题