Skip to main content

Looking to the Future

  • Chapter
  • First Online:
Foraging-Inspired Optimisation Algorithms

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

  • 674 Accesses

Abstract

In Chapter 19 we clarify some of the differences between foraging and optimisation settings, so as to more clearly delineate limits to the foraging metaphor. Finally, we make some concluding comments and describe open research opportunities.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 79.99
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.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Brabazon, A., McGarraghy, S. (2018). Looking to the Future. In: Foraging-Inspired Optimisation Algorithms. Natural Computing Series. Springer, Cham. https://doi.org/10.1007/978-3-319-59156-8_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-59156-8_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59155-1

  • Online ISBN: 978-3-319-59156-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics