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  • Tento článek se zabývá statickou analýzou multi-agentních systémů. Cílem je nalézt shluky agentů tak, aby se maximalizovala komunikace mezi agenty uvnitř shluků. Byl použit vícekriteriální iterativní algoritmus s vývíjenými kroky zvaný mPOEMS. Algoritmus byl experimentálně porovnán s fuzzy shlukovacím algoritmem. (cs)
  • This paper deals with static agent clustering analysis within multi-agent systems. The goal is to find clusters of agents within the multi-agent system that minimize communication among different clusters. A multi-objective iterative optimization algorithm called %22Multi-objective Prototype Optimization with Evolved iMprovement Steps%22 (mPOEMS) was used as the clustering algorithm. Results achieved with the proposed mPOEMS algorithm are significantly better than those achieved by the modified fuzzy clustering algorithm.
  • This paper deals with static agent clustering analysis within multi-agent systems. The goal is to find clusters of agents within the multi-agent system that minimize communication among different clusters. A multi-objective iterative optimization algorithm called %22Multi-objective Prototype Optimization with Evolved iMprovement Steps%22 (mPOEMS) was used as the clustering algorithm. Results achieved with the proposed mPOEMS algorithm are significantly better than those achieved by the modified fuzzy clustering algorithm. (en)
Title
  • Agents Clustering within Multi-Agent System by means of Multiobjective Iterative Algorithm
  • Agents Clustering within Multi-Agent System by means of Multiobjective Iterative Algorithm (en)
  • Shlukování agentů v multi-agentních systémech pomocí vícekriteriálního iterativního algoritmu (cs)
skos:prefLabel
  • Agents Clustering within Multi-Agent System by means of Multiobjective Iterative Algorithm
  • Agents Clustering within Multi-Agent System by means of Multiobjective Iterative Algorithm (en)
  • Shlukování agentů v multi-agentních systémech pomocí vícekriteriálního iterativního algoritmu (cs)
skos:notation
  • RIV/68407700:21230/08:03142054!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770038)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 355105
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/08:03142054
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • clustering; evolutionary algorithms; multi-agent systems; multiobjective optimization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0115768AA92D]
http://linked.open...v/mistoKonaniAkce
  • Vienna
http://linked.open...i/riv/mistoVydani
  • Vienna
http://linked.open...i/riv/nazevZdroje
  • Cybernetics and Systems 2008
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kubalík, Jiří
  • Šindelář, R.
  • Staron, R. J.
  • Tichý, P.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Austrian Society for Cybernetics Studies
https://schema.org/isbn
  • 978-3-85206-175-7
http://localhost/t...ganizacniJednotka
  • 21230
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