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Authors: Grant Blaise O’Reilly and Elizabeth Ehlers

Affiliation: Academy for Information Technology, University of Johannnesburg, South Africa

Keyword(s): Swarm intelligence, stigmergy, frequency assignment problem, NP-complete problem.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Industrial Applications of Artificial Intelligence ; Intelligent Agents ; Intelligent Social Agents and Distributed Artificial Intelligence Applications ; Internet Technology ; Web Information Systems and Technologies

Abstract: The swarm effect minimization algorithm (SEMA) is presented in this paper. The SEMA was used to produce improved solutions for the minimum interference frequency assignment problem (MI-FAP) in mobile telecommunications networks. The SEMA is a multi-agent orientated design. The SEMA is based on the stigmergy concept. The stigmergy concept allows the actual changes in the environment made by entities in a swarm to act as a source of information that aids the swarm entities when making further changes in the environment. The entities do not blindly control the changes in the environment the actual changes guide the entities. The SwarmAFP is tested against the COST 259 Siemens bench marks as well as tested in a commercial mobile telecommunications network and the results are presented in this paper.

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Paper citation in several formats:
Blaise O’Reilly, G. and Ehlers, E. (2008). THE SWARM EFFECT MINIMIZATION ALGORITHM - Utilized to Optimise the Frequency Assignment Problem. In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS; ISBN 978-989-8111-37-1; ISSN 2184-4992, SciTePress, pages 397-402. DOI: 10.5220/0001671803970402

@conference{iceis08,
author={Grant {Blaise O’Reilly}. and Elizabeth Ehlers.},
title={THE SWARM EFFECT MINIMIZATION ALGORITHM - Utilized to Optimise the Frequency Assignment Problem},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS},
year={2008},
pages={397-402},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001671803970402},
isbn={978-989-8111-37-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS
TI - THE SWARM EFFECT MINIMIZATION ALGORITHM - Utilized to Optimise the Frequency Assignment Problem
SN - 978-989-8111-37-1
IS - 2184-4992
AU - Blaise O’Reilly, G.
AU - Ehlers, E.
PY - 2008
SP - 397
EP - 402
DO - 10.5220/0001671803970402
PB - SciTePress