Skip to main content

Ants in Web Searching Process

  • Conference paper
  • 936 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3528))

Abstract

In this paper, we propose a new ant–based searching algorithm called AntSearch. We describe a process of stigmergy and diffusion of pheromone, leading to a degree of self–organization brought about through the independent actions and iterations of its individual agents. We use it in the construction in our continually evolving system, AntSearch. We discuss some of the issues raised and attempt to explain some of its success as well as account for its failings. We analyze the main characteristics of the algorithm and try to explain the influence of parameters value on the behavior of this system.

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

Buying options

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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bilchev, G., Parmee, I.C.: The ant colony metaphor for searching continuous design spaces. In: Fogarty, T.C. (ed.) AISB-WS 1995. LNCS, vol. 993. Springer, Heidelberg (1995)

    Google Scholar 

  2. Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence. In: From Natural to Artificial Systems. Oxford University Press, Oxford (1999)

    Google Scholar 

  3. Corne, D., Dorigo, M., Glover, F.: New Ideas in Optimization. Mc–Graw–hill, New York (1999)

    Google Scholar 

  4. Deneubourg, J.-L.: Personal communication. Université Libre de Bruxelles, Brussels (2002)

    Google Scholar 

  5. Deneubourg, J.-L., Aron, S., Goss, S., Pasteels, J.-M.: The self–organizing exploratory pattern of the argentine ant. Journal of Insect Behavior 3, 159–168 (1990)

    Article  Google Scholar 

  6. Dorigo, M., Gambardella, L.M.: Ant colonies for the Traveling Salesman Problem. Biosystems 43, 73–81 (1997)

    Article  Google Scholar 

  7. Dorigo, M., Stützle, T.: Ant Colony Optimization. The MIT Press, Cambridge (2004)

    Book  MATH  Google Scholar 

  8. Goss, S., Aron, S., Deneubourg, J.-L., Pasteels, J.-M.: Self–organized shortcuts in the argentine ant. Naturwissenschaften 76, 579–581

    Google Scholar 

  9. Passino, K.M.: Biomimicry for Optimization, Control, and Automation. Springer, London (2005)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Boryczka, U. (2005). Ants in Web Searching Process. In: Szczepaniak, P.S., Kacprzyk, J., Niewiadomski, A. (eds) Advances in Web Intelligence. AWIC 2005. Lecture Notes in Computer Science(), vol 3528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11495772_10

Download citation

  • DOI: https://doi.org/10.1007/11495772_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26219-0

  • Online ISBN: 978-3-540-31900-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics