Abstract
Drift analysis is one of the major tools for analysing evolutionary algorithms and nature-inspired search heuristics. In this chapter we give an introduction to drift analysis and give some examples of how to use it for the analysis of evolutionary algorithms.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Lengler, J. (2020). Drift Analysis. In: Doerr, B., Neumann, F. (eds) Theory of Evolutionary Computation. Natural Computing Series. Springer, Cham. https://doi.org/10.1007/978-3-030-29414-4_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-29414-4_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29413-7
Online ISBN: 978-3-030-29414-4
eBook Packages: Computer ScienceComputer Science (R0)