Agent-Based Problem Solving: The Ant Colonies Metaphor

Stefan Wagner, Michael Affenzeller, Ismail Khalil Ibrahim

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

In this paper the analogy between biological swarms and artificial multiagent systems is pointed out. As an example the steps required to model the artificial optimization technique called Ant Colony Optimization starting from the foraging behaviour of natural ant colonies are explained in detail. During the development of the model the authors use the language of multiagent systems to highlight the suitability of such an approach.
Original languageEnglish
Title of host publicationThe Fifth International Conference on Information Integration and Web-based Applications & Services (iiWAS 2003)
PublisherÖsterreichische Computer Gesellschaft (OCG)
Pages317-323
ISBN (Print)3-85403-170-10
Publication statusPublished - 2003
EventThe Fifth International Conference on Information Integration and Web-based Applications & Services (iiWAS 2003) - Jakarta, Indonesia
Duration: 15 Sep 200317 Sep 2003
http://www.tk.uni-linz.ac.at/iiwas/

Conference

ConferenceThe Fifth International Conference on Information Integration and Web-based Applications & Services (iiWAS 2003)
CountryIndonesia
CityJakarta
Period15.09.200317.09.2003
Internet address

Keywords

  • Heuristic Optimization
  • Swarm Intelligence
  • Ant Colony Optimization
  • Ant Systems

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