A new swarm intelligence coordination model inspired by collective prey retrieval and Its application to image alignment

G. Da San Martino, F. A. Cardillo, A. Starita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Swarm Intelligence is the emergent collective intelligence of groups of simple agents acting almost independently. Algorithms following this paradigm have many desirable properties: flexibility, decentralized control, robustness, and fault tolerance. This paper presents a novel agent coordination model inspired by the way ants collectively transport large preys. In our model a swarm of agents, each having a different destination to reach, moves with no centralized control in the direction indicated by the majority of agents keeping its initial shape. The model is used to build an algorithm for the problems of image alignment and image matching. The novelty of the approach and its effectiveness are discussed.

Original languageEnglish
Title of host publicationParallel Problem Solving from Nature, PPSN IX - 9th International Conference, Procedings
PublisherSpringer Verlag
Pages691-700
Number of pages10
ISBN (Print)3540389903, 9783540389903
Publication statusPublished - 1 Jan 2006
Event9th International Conference on Parallel Problem Solving from Nature, PPSN IX - Reykjavik, Iceland
Duration: 9 Sep 200613 Sep 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4193 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Parallel Problem Solving from Nature, PPSN IX
CountryIceland
CityReykjavik
Period9/9/0613/9/06

    Fingerprint

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Da San Martino, G., Cardillo, F. A., & Starita, A. (2006). A new swarm intelligence coordination model inspired by collective prey retrieval and Its application to image alignment. In Parallel Problem Solving from Nature, PPSN IX - 9th International Conference, Procedings (pp. 691-700). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4193 LNCS). Springer Verlag.