About: Clustering Methods for Agent Distribution Optimization

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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 first part 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 deals with 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 on an iterative multiobjective optimization evolutionary algorithm is proposed and its advantages are demonstrated. 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 first part 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 deals with 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 on an iterative multiobjective optimization evolutionary algorithm is proposed and its advantages are demonstrated. (en)
Title	Clustering Methods for Agent Distribution Optimization Clustering Methods for Agent Distribution Optimization (en)
skos:prefLabel	Clustering Methods for Agent Distribution Optimization Clustering Methods for Agent Distribution Optimization (en)
skos:notation	RIV/68407700:21230/10:00168913!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6840770038)
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Kubalík, Jiří
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	251003
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/10:00168913
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	clustering; evolutionary algorithms; multiagent systems; multiobjective optimization (en)
http://linked.open.../riv/klicoveSlovo	clustering evolutionary algorithms multiobjective optimization multiagent systems
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[53AB390D6878]
http://linked.open...i/riv/nazevZdroje	IEEE Transactions on Systems, Man, and Cybernetics: Part C
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...v/svazekPeriodika	40
http://linked.open...iv/tvurceVysledku	Kubalík, Jiří Šindelář, R. Staron, R. J. Tichý, P.
http://linked.open...ain/vavai/riv/wos	000271605100007
http://linked.open...n/vavai/riv/zamer	Decision Making and Control for Manufacturing III
issn	1094-6977
number of pages	9 (xsd:int)
http://localhost/t...ganizacniJednotka	21230

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