Clustering Methods for Agent Distribution Optimization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00168913" target="_blank" >RIV/68407700:21230/10:00168913 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Clustering Methods for Agent Distribution Optimization
Original language description
Multiagent systems consist of a collection of agents that directly interact usually via a form of message passing. Information about these interactions can be analyzed in an online or offline way to identify clusters of agents that are related. The firstpart of this paper is dedicated to a formal definition of a proposed dynamic model for agent clustering. The main contribution is the ability to discover and visualize communication neighborhoods of agents at runtime. The second part of this paper dealswith a static agent clustering problem where equally sized clusters with maximal intracluster communication among agents are sought in order to efficiently distribute agents across multiple execution units. A multiobjective clustering approach based onan iterative multiobjective optimization evolutionary algorithm is proposed and its advantages are demonstrated.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
IEEE Transactions on Systems, Man, and Cybernetics: Part C
ISSN
1094-6977
e-ISSN
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Volume of the periodical
40
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
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UT code for WoS article
000271605100007
EID of the result in the Scopus database
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