Finding Antimagic Labelings of Trees by Evolutionary Search

Luke Branson, Andrew M. Sutton, Xiankun Yan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Randomized search heuristics can sometimes be effective verifiers for combinatorial conjectures. In this paper, we demonstrate how a simple evolutionary algorithm can be used to confirm the antimagic tree conjecture for all trees up to order 25. This conjecture, which has been open for over thirty years, is that every tree except K2 has an antimagic labeling: a bijective edge labeling such that the sum of labels assigned to edges incident to a vertex v is unique for all vertices v μ V. Moreover, we formally prove that that simple evolutionary algorithms are guaranteed to find antimagic labelings in expected polynomial time on trees of any order for certain restricted classes (paths, combs, uniform caterpillars, uniform spiders and perfect binary trees).

Original languageEnglish (US)
Title of host publicationFOGA 2023 - Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms
PublisherAssociation for Computing Machinery, Inc
Pages27-37
Number of pages11
ISBN (Electronic)9798400702020
DOIs
StatePublished - Aug 30 2023
Event17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2023 - Potsdam, Germany
Duration: Aug 30 2023Sep 1 2023

Publication series

NameFOGA 2023 - Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms

Conference

Conference17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2023
Country/TerritoryGermany
CityPotsdam
Period8/30/239/1/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

Keywords

  • Combinatorial optimization
  • graph labeling
  • runtime analysis

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