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Author: Grant Blaise O'Reilly

Affiliation: University of Johannesburg, South Africa

Keyword(s): Swarm intelligence, Stigmergy, Multi-agent system, Frequency assignment problem.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Evolutionary Programming ; Industrial Applications of Artificial Intelligence ; Intelligent Social Agents and Distributed Artificial Intelligence Applications

Abstract: The swarm intelligence multi-agent based algorithm (SIMBA) is presented in this paper. The SIMBA utilizes swarm intelligence and a multi-agent system (MAS) to optimize the frequency assignment problem (FAP). The SIMBA optimises by considering both local and global i.e. collective solutions in the optimization process. Stigmergy single cell optimization (SSCO) is also used by the individual agents in SIMBA. SSCO enables the agents to recognize interference patterns in the frequency assignment structure that is being optimized and to augment it with frequency selections that minimized the interference. The changing configurations of the frequency assignment structure acts as a source of information that aids the agents when making further decisions. Due to the increasing demand of cellular communication services and the available frequency spectrum optimal frequency assignment is necessary. The SIMBA was used to optimize the fixed-spectrum frequency assignment problem (FS-FAP) in cellu lar radio networks. The results produced by the SIMBA were benchmarked against the COST 259 Siemens scenarios. The frequency assignment solutions produced by the SIMBA were also implemented in a commercial cellular radio network and the results are presented. (More)

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Paper citation in several formats:
Blaise O'Reilly, G. (2009). FREQUENCY ASSIGNMENT OPTIMIZATION USING THE SWARM INTELLIGENCE MULTI-AGENT BASED ALGORITHM (SIMBA). In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-8111-85-2; ISSN 2184-4992, SciTePress, pages 25-32. DOI: 10.5220/0001857600250032

@conference{iceis09,
author={Grant {Blaise O'Reilly}.},
title={FREQUENCY ASSIGNMENT OPTIMIZATION USING THE SWARM INTELLIGENCE MULTI-AGENT BASED ALGORITHM (SIMBA)},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2009},
pages={25-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001857600250032},
isbn={978-989-8111-85-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - FREQUENCY ASSIGNMENT OPTIMIZATION USING THE SWARM INTELLIGENCE MULTI-AGENT BASED ALGORITHM (SIMBA)
SN - 978-989-8111-85-2
IS - 2184-4992
AU - Blaise O'Reilly, G.
PY - 2009
SP - 25
EP - 32
DO - 10.5220/0001857600250032
PB - SciTePress

- Science and Technology Publications, Lda.
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