Mathematical Research Data Initiative
Main page
Recent changes
Random page
SPARQL
MaRDI@GitHub
Special pages
In other projects
MaRDI portal item
Discussion
View source
View history
Purge
English
Log in

Fault trees from data: efficient learning with an evolutionary algorithm

From MaRDI portal
Publication:6535910
Jump to:navigation, search

DOI10.1007/978-3-030-35540-1_2zbMATH Open1543.6806MaRDI QIDQ6535910

Mariëlle I. A. Stoelinga, Doina Bucur, Alexis Linard

Publication date: 12 March 2024





zbMATH Keywords

evolutionary algorithmsafety-critical systemscyber-physical systemsfault-tree induction


Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Learning and adaptive systems in artificial intelligence (68T05) Reliability, testing and fault tolerance of networks and computer systems (68M15)


Cites Work

  • Title not available (Why is that?)
  • Title not available (Why is that?)
  • A large population size can be unhelpful in evolutionary algorithms
  • Rapid modeling and discovery of priority dispatching rules: An autonomous learning approach
  • Fault tree analysis: a survey of the state-of-the-art in modeling, analysis and tools
  • Fault Tree Analysis, Methods, and Applications ߝ A Review
  • Learning Boolean formulas


Related Items (1)

Learning attack trees by genetic algorithms






This page was built for publication: Fault trees from data: efficient learning with an evolutionary algorithm

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6535910)

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:6535910&oldid=40056022"
Tools
What links here
Related changes
Printable version
Permanent link
Page information
This page was last edited on 13 February 2025, at 17:11.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki