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Generating hard quadratic unconstrained binary optimization instances via the method of combining bit reduction and duplication technique.

Authors :
Li, Xiaotian
Nakano, Koji
Tsukiyama, Shunsuke
Ito, Yasuaki
Kato, Takumi
Kawamata, Yuya
Source :
International Journal of Parallel, Emergent & Distributed Systems. Sep2024, Vol. 39 Issue 5, p589-608. 20p.
Publication Year :
2024

Abstract

Quadratic Unconstrained Binary Optimization (QUBO) is a combinatorial optimization problem defined by an energy function that consists of a quadratic formula involving multiple binary variables. We propose the method of combing bit reduction and duplication technique that can generate hard instances of QUBO problems from any original QUBO problem without changing the size. The idea is to reduce the original QUBO problem for a specified number of bits and duplicate the same number of bits while ensuring all duplicated pair of bits take the same binary values. Experimental results show that generated QUBO instances are much hard for solving. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17445760
Volume :
39
Issue :
5
Database :
Academic Search Index
Journal :
International Journal of Parallel, Emergent & Distributed Systems
Publication Type :
Academic Journal
Accession number :
179023374
Full Text :
https://doi.org/10.1080/17445760.2024.2376928