Skip to main content

Linear Genetic Operators II — Instruction Mutations

  • Chapter
Book cover Linear Genetic Programming

Part of the book series: Genetic and Evolutionary Computation ((GEVO))

  • 1321 Accesses

Abstract

The experimental results from Chapter 5 have confirmed two important assumptions. First, when using recombination best results were obtained with a relatively low limit to segment length. Second, segment recombination has not been found to be more powerful than segment mutation. Both aspects motivate the use of mutations that affect one instruction only. The following considerations try to point out why linear programs in particular are likely to be served better by using only minimal mutation operations.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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

© 2007 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

(2007). Linear Genetic Operators II — Instruction Mutations. In: Linear Genetic Programming. Genetic and Evolutionary Computation. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31030-5_6

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-31030-5_6

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-31029-9

  • Online ISBN: 978-0-387-31030-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics