A Study of Ising Formulations for Minimizing Setup Cost in the Two-Dimensional Cutting Stock Problem

We proposed the method that translates the two-dimensional CSP for minimizing the number of cuts to the Ising model. After that, we conducted computer experiments of the proposed model using the benchmark problem. From the above, the following results are obtained. (1) The proposed Ising model adequ...

Full description

Bibliographic Details
Main Authors: Hiroshi Arai, Harumi Haraguchi
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/14/6/182
_version_ 1797530709608366080
author Hiroshi Arai
Harumi Haraguchi
author_facet Hiroshi Arai
Harumi Haraguchi
author_sort Hiroshi Arai
collection DOAJ
description We proposed the method that translates the two-dimensional CSP for minimizing the number of cuts to the Ising model. After that, we conducted computer experiments of the proposed model using the benchmark problem. From the above, the following results are obtained. (1) The proposed Ising model adequately represents the target problem. (2) Acceptance rates were as low as 0.2% to 9.8% and from 21.8% to 49.4%. (3) Error rates from optimal solution were as broad as 0% to 25.9%. For future work, we propose the following changes: (1) Improve the Hamiltonian for constraints. (2) Improve the proposed model to adjust more complex two-dimensional CSP and reduce the number of spins when it deals with large materials and components. (3) Conduct experiments using a quantum annealer.
first_indexed 2024-03-10T10:33:50Z
format Article
id doaj.art-13b1260ff7ab495688a50be225e45449
institution Directory Open Access Journal
issn 1999-4893
language English
last_indexed 2024-03-10T10:33:50Z
publishDate 2021-06-01
publisher MDPI AG
record_format Article
series Algorithms
spelling doaj.art-13b1260ff7ab495688a50be225e454492023-11-21T23:26:06ZengMDPI AGAlgorithms1999-48932021-06-0114618210.3390/a14060182A Study of Ising Formulations for Minimizing Setup Cost in the Two-Dimensional Cutting Stock ProblemHiroshi Arai0Harumi Haraguchi1Graduate School of Science and Engineering, Ibaraki University, 2-1-1, Hitachi-shi 316-8511, JapanGraduate School of Science and Engineering, Ibaraki University, 2-1-1, Hitachi-shi 316-8511, JapanWe proposed the method that translates the two-dimensional CSP for minimizing the number of cuts to the Ising model. After that, we conducted computer experiments of the proposed model using the benchmark problem. From the above, the following results are obtained. (1) The proposed Ising model adequately represents the target problem. (2) Acceptance rates were as low as 0.2% to 9.8% and from 21.8% to 49.4%. (3) Error rates from optimal solution were as broad as 0% to 25.9%. For future work, we propose the following changes: (1) Improve the Hamiltonian for constraints. (2) Improve the proposed model to adjust more complex two-dimensional CSP and reduce the number of spins when it deals with large materials and components. (3) Conduct experiments using a quantum annealer.https://www.mdpi.com/1999-4893/14/6/182Ising modelquantum annealerQUBOcutting stock problembin packing problemoptimization method
spellingShingle Hiroshi Arai
Harumi Haraguchi
A Study of Ising Formulations for Minimizing Setup Cost in the Two-Dimensional Cutting Stock Problem
Algorithms
Ising model
quantum annealer
QUBO
cutting stock problem
bin packing problem
optimization method
title A Study of Ising Formulations for Minimizing Setup Cost in the Two-Dimensional Cutting Stock Problem
title_full A Study of Ising Formulations for Minimizing Setup Cost in the Two-Dimensional Cutting Stock Problem
title_fullStr A Study of Ising Formulations for Minimizing Setup Cost in the Two-Dimensional Cutting Stock Problem
title_full_unstemmed A Study of Ising Formulations for Minimizing Setup Cost in the Two-Dimensional Cutting Stock Problem
title_short A Study of Ising Formulations for Minimizing Setup Cost in the Two-Dimensional Cutting Stock Problem
title_sort study of ising formulations for minimizing setup cost in the two dimensional cutting stock problem
topic Ising model
quantum annealer
QUBO
cutting stock problem
bin packing problem
optimization method
url https://www.mdpi.com/1999-4893/14/6/182
work_keys_str_mv AT hiroshiarai astudyofisingformulationsforminimizingsetupcostinthetwodimensionalcuttingstockproblem
AT harumiharaguchi astudyofisingformulationsforminimizingsetupcostinthetwodimensionalcuttingstockproblem
AT hiroshiarai studyofisingformulationsforminimizingsetupcostinthetwodimensionalcuttingstockproblem
AT harumiharaguchi studyofisingformulationsforminimizingsetupcostinthetwodimensionalcuttingstockproblem