A Three-Stage Annealing Method Solving Slot-Placement Problems Using an Ising Machine
Ising machines are promising alternatives to solve combinatorial optimization problems, which search for their quasi-optimal solutions with high speed and high accuracy. However, the obtained solution much depends on the initial spin states, since the computation time is finite. Moreover, due to the...
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doaj-97a0181daf0e4bf9874d5e10f7de247e2021-10-05T23:00:27ZengIEEEIEEE Access2169-35362021-01-01913441313442610.1109/ACCESS.2021.31160389550770A Three-Stage Annealing Method Solving Slot-Placement Problems Using an Ising MachineKeisuke Fukada0https://orcid.org/0000-0002-6087-1399Matthieu Parizy1https://orcid.org/0000-0002-5777-7756Yoshinori Tomita2Nozomu Togawa3https://orcid.org/0000-0003-3400-3587Department of Computer Science and Communications Engineering, Waseda University, Shinjuku, Tokyo, JapanDepartment of Computer Science and Communications Engineering, Waseda University, Shinjuku, Tokyo, JapanFujitsu Laboratories Ltd., Kawasaki, Kanagawa, JapanDepartment of Computer Science and Communications Engineering, Waseda University, Shinjuku, Tokyo, JapanIsing machines are promising alternatives to solve combinatorial optimization problems, which search for their quasi-optimal solutions with high speed and high accuracy. However, the obtained solution much depends on the initial spin states, since the computation time is finite. Moreover, due to their probabilistic nature, they cannot always satisfy the constraints given to combinatorial optimization problems. In this paper, we propose a three-stage annealing method, targeting a slot-placement problem as a typical but difficult example of combinatorial optimization problems. The proposed method is composed of an initial process, an annealing process, and a correction process. The initial process and the correction process are executed by a classical computer while the annealing process is executed by an Ising machine. In the initial process, we give initial spin values that lead to a relatively good solution to the combinatorial optimization problem, which satisfies the given constraints. Then, the annealing process is executed by an Ising machine, and the solution obtained by the annealing process is further corrected to satisfy the constraints. The experimental results demonstrate that the proposed method reduces a minimum total weighted wiring length by 0.0898%–2.45% on average depending on the initial process methods used, compared to the existing method. The mean total weighted wiring length is reduced by 2.79%–7.08% on average depending on the initial process methods used.https://ieeexplore.ieee.org/document/9550770/Ising machineIsing modelQUBO modelslot-placement probleminitial processcorrection process |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Keisuke Fukada Matthieu Parizy Yoshinori Tomita Nozomu Togawa |
spellingShingle |
Keisuke Fukada Matthieu Parizy Yoshinori Tomita Nozomu Togawa A Three-Stage Annealing Method Solving Slot-Placement Problems Using an Ising Machine IEEE Access Ising machine Ising model QUBO model slot-placement problem initial process correction process |
author_facet |
Keisuke Fukada Matthieu Parizy Yoshinori Tomita Nozomu Togawa |
author_sort |
Keisuke Fukada |
title |
A Three-Stage Annealing Method Solving Slot-Placement Problems Using an Ising Machine |
title_short |
A Three-Stage Annealing Method Solving Slot-Placement Problems Using an Ising Machine |
title_full |
A Three-Stage Annealing Method Solving Slot-Placement Problems Using an Ising Machine |
title_fullStr |
A Three-Stage Annealing Method Solving Slot-Placement Problems Using an Ising Machine |
title_full_unstemmed |
A Three-Stage Annealing Method Solving Slot-Placement Problems Using an Ising Machine |
title_sort |
three-stage annealing method solving slot-placement problems using an ising machine |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
description |
Ising machines are promising alternatives to solve combinatorial optimization problems, which search for their quasi-optimal solutions with high speed and high accuracy. However, the obtained solution much depends on the initial spin states, since the computation time is finite. Moreover, due to their probabilistic nature, they cannot always satisfy the constraints given to combinatorial optimization problems. In this paper, we propose a three-stage annealing method, targeting a slot-placement problem as a typical but difficult example of combinatorial optimization problems. The proposed method is composed of an initial process, an annealing process, and a correction process. The initial process and the correction process are executed by a classical computer while the annealing process is executed by an Ising machine. In the initial process, we give initial spin values that lead to a relatively good solution to the combinatorial optimization problem, which satisfies the given constraints. Then, the annealing process is executed by an Ising machine, and the solution obtained by the annealing process is further corrected to satisfy the constraints. The experimental results demonstrate that the proposed method reduces a minimum total weighted wiring length by 0.0898%–2.45% on average depending on the initial process methods used, compared to the existing method. The mean total weighted wiring length is reduced by 2.79%–7.08% on average depending on the initial process methods used. |
topic |
Ising machine Ising model QUBO model slot-placement problem initial process correction process |
url |
https://ieeexplore.ieee.org/document/9550770/ |
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