Skip to main content

Elements of Evolutionary Algorithms

  • Chapter
  • First Online:
Computational Intelligence

Part of the book series: Texts in Computer Science ((TCS))

  • 3807 Accesses

Abstract

Evolutionary algorithms are not fixed procedures, but contain several elements that must be adapted to the optimization problem to be solved.

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 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight 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

References

  • Y. Davidor, Lamarckian Sub-Goal Reward in Genetic Algorithm, in Proceedings of the European Conference on Artificial Intelligence (ECAI, Stockholm, Sweden) (Pitman, London, 1990), pp. 189–194

    Google Scholar 

  • Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, 3rd edn. (Springer, New York, 1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Rudolf Kruse , Christian Borgelt , Christian Braune , Sanaz Mostaghim or Matthias Steinbrecher .

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer-Verlag London

About this chapter

Cite this chapter

Kruse, R., Borgelt, C., Braune, C., Mostaghim, S., Steinbrecher, M. (2016). Elements of Evolutionary Algorithms. In: Computational Intelligence. Texts in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-7296-3_12

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-7296-3_12

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-7294-9

  • Online ISBN: 978-1-4471-7296-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics