Skip to main content
SpringerLink
Log in

Group-Foraging with Particle Swarms and Genetic Programming

  • Conference paper
Book cover Genetic Programming (EuroGP 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4445))

Included in the following conference series:

Abstract

This paper has been inspired by two quite different works in the field of Particle Swarm theory. Its main aims are to obtain particle swarm equations via genetic programming which perform better than hand-designed ones on the group-foraging problem, and to provide insight into behavioural ecology. With this work, we want to start a new research direction: the use of genetic programming together with particle swarm algorithms in the simulation of problems in behavioural ecology.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
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

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.

References

  1. Alcock, J.: Animal Behavior. Sinauer Associates. Sinauer Associates, Sunderland (1998)

    Google Scholar 

  2. Di Chio, C., Poli, R., Di Chio, P.: Extending the Particle Swarm Algorithm to Model Animal Foraging Behaviour. In: Dorigo, M., et al. (eds.) ANTS 2006. LNCS, vol. 4150, Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  3. Giraldeau, L.A., Caraco, T.: Social Foraging Theory. Princeton University Press, Princeton (2000)

    Google Scholar 

  4. Kennedy, J., Eberhart, R.C.: Swarm Intelligence. Morgan Kaufmann Publishers, San Francisco (2001)

    Google Scholar 

  5. Krause, J., Ruxton, G.D.: Living in Groups. Oxford University Press, Oxford (2002)

    Google Scholar 

  6. MacFarland, D.: Animal behaviour. Longman, New York (1999)

    Google Scholar 

  7. Poli, R., Langdon, W.B., Holland, O.: Extending Particle Swarm Optimisation via Genetic Programming. In: Keijzer, M., et al. (eds.) EuroGP 2005. LNCS, vol. 3447, pp. 291–300. Springer, Heidelberg (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Essex, UK

    Cecilia Di Chio

  2. Dipartimento di Sistemi e Istituzioni per l’Economia, University of L’Aquila, Italy

    Paolo Di Chio

Authors
  1. Cecilia Di Chio
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Paolo Di Chio
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Marc Ebner Michael O’Neill Anikó Ekárt Leonardo Vanneschi Anna Isabel Esparcia-Alcázar

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Berlin Heidelberg

About this paper

Cite this paper

Di Chio, C., Di Chio, P. (2007). Group-Foraging with Particle Swarms and Genetic Programming. In: Ebner, M., O’Neill, M., Ekárt, A., Vanneschi, L., Esparcia-Alcázar, A.I. (eds) Genetic Programming. EuroGP 2007. Lecture Notes in Computer Science, vol 4445. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71605-1_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-71605-1_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71602-0

  • Online ISBN: 978-3-540-71605-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation