Using an Evolutionary Algorithm to Create (MAX)-3SAT QUBOs

Sebastian Zielinski*, Maximilian Zorn, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

A common way of solving satisfiability instances with quantum methods is to transform these instances into instances of QUBO. State-of-the-art transformations from MAX-3SAT to QUBO work by mapping clauses of a 3SAT formula associated with the MAX-3SAT instance to an instance of QUBO and combining the resulting QUBOs into a single QUBO instance representing the whole MAX-3SAT instance. As creating these transformations is currently done manually or via exhaustive search methods and is, therefore, algorithmically inefficient, we see potential for including search-based optimization. In this paper, we propose two methods of using evolutionary algorithms to create QUBO representations of MAX-3SAT problems automatically. We evaluate our created QUBOs on 500 and 1000-clause 3SAT formulae and find competitive performance to state-of-the-art baselines when using both classical and quantum annealing solvers.
Original languageEnglish
Title of host publicationGECCO '24 Companion
Subtitle of host publicationProceedings of the Genetic and Evolutionary Computation Conference Companion
Place of PublicationNew York, NY
PublisherACM
Pages1984-1992
Number of pages9
ISBN (Electronic)979-8-4007-0495-6
DOIs
Publication statusPublished - 2024
Event2024 Genetic and Evolutionary Computation Conference - Melbourne Convention and Exhibition Centre (MCEC), Melbourne, Australia
Duration: 14 Jul 202418 Jul 2024
https://gecco-2024.sigevo.org/HomePage

Conference

Conference2024 Genetic and Evolutionary Computation Conference
Abbreviated titleGECCO 2024
Country/TerritoryAustralia
CityMelbourne
Period14/07/2418/07/24
Internet address

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • (MAX)-3SAT
  • combinatorial optimization
  • evolutionary algorithm
  • QUBO

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