Fixed-Parameter Tractability of the (1 + 1) Evolutionary Algorithm on Random Planted Vertex Covers

Jack Kearney, Frank Neumann, Andrew M. Sutton

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

Abstract

We present the first parameterized analysis of a standard (1+1) Evolutionary Algorithm on a distribution of vertex cover problems. We show that if the planted cover is at most logarithmic, restarting the (1+1) EA every O(n log n) steps will find a cover at least as small as the planted cover in polynomial time for sufficiently dense random graphs p > 0.71. For superlogarithmic planted covers, we prove that the (1+1) EA finds a solution in fixed-parameter tractable time in expectation. We complement these theoretical investigations with a number of computational experiments that highlight the interplay between planted cover size, graph density and runtime.

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
Pages96-104
Number of pages9
ISBN (Electronic)9798400702020
DOIs
StatePublished - Aug 30 2023
Externally publishedYes
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

  • parameterized complexity
  • runtime analysis
  • vertex cover

Fingerprint

Dive into the research topics of 'Fixed-Parameter Tractability of the (1 + 1) Evolutionary Algorithm on Random Planted Vertex Covers'. Together they form a unique fingerprint.

Cite this