Skip to main content

Part of the book series: Natural Computing Series ((NCS))

  • 1071 Accesses

3.7 Summary

This chapter presented an introduction to a family of algorithms inspired by an evolutionary metaphor, evolutionary algorithms. Specific EA instances were examined, namely genetic algorithms, differential evolution and genetic programming. Following two examples of how EAs can be applied for financial prediction purposes, we outlined some of the more recent developments in EC. Our presentation of evolutionary computation continues in Chap. 4 with an introduction to the grammatical evolution framework.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

(2006). Evolutionary Methodologies. In: Biologically Inspired Algorithms for Financial Modelling. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31307-9_3

Download citation

  • DOI: https://doi.org/10.1007/3-540-31307-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26252-7

  • Online ISBN: 978-3-540-31307-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics