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

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.

Authors

Publication Details

Journal
INFORMS journal on computing
Published
2025-02-03
DOI
https://doi.org/10.1287/ijoc.2023.0474.cd
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Yuzhuo Qiu, Mikhail Cherniavskii, Pãnos M. Pardalos, Boris Goldengorin
INFORMS journal on computing
Manufacturing Process and Optimization
article

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

Yuzhuo Qiu, Mikhail Cherniavskii, Pãnos M. Pardalos, Boris Goldengorin
article en

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.

INFORMS journal on computing
Openalex Percentile: Top 98%
Manufacturing Process and Optimization
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