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Ant Colony Algorithm for Swarm Systems

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2006Publisher:IEEEJournal:2006 IEEE 3rd Latin American Robotics Symposium
Authors: Victor Soto Hernandez; Alfredo Weitzenfeld;

doi: 10.1109/lars.2006.334335

Ant Colony Algorithm for Swarm Systems

Abstract

The paper presents a swarm model inspired in ant colonies where ants perform different tasks. The model emphasizes explorer and worker ants responsible for food search and bringing food back to the nest, respectively. The model is based on ACO ? Ant Colony Optimization providing a shortest path algorithm during route exploration. Results from ant colony model simulations are presented and contrasted.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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