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Description
  • Článek popisuje aplikace několika verzí particle swarm optimalizace na generování víceklasifikátorových systémů. Konkrétně se zabýváme použitím spojitého PSO pro optimalizaci lineární kombinace výstupů klasifkátorů, optimalizací výběru klasifikátorů pro majoritní volbu a optimalizací víceúrovňové sítě s majoritní volbou. (cs)
  • In this paper we present application of various versions of the particle swarm optimization method (PSO) in the process of generation of multiple-classifer systems (MCS). While some of the investigated optimisation problems naturally lend themselves to the type of optimisation for which PSO is most suitable we present some other applications requiring non-standard representation of the particles as well as handling of constraints in the optimisation process. In the most typical optimisation case the continuous version of PSO has been successfully applied for the optimization of a soft-linear combiner. On the other hand, one of the adapted binary versions of PSO has been shown to work well in the case of multi-stage organization of majority voting (MOMV), where the search dimension is high and the local search techniques can often get stuck in local optima.
  • In this paper we present application of various versions of the particle swarm optimization method (PSO) in the process of generation of multiple-classifer systems (MCS). While some of the investigated optimisation problems naturally lend themselves to the type of optimisation for which PSO is most suitable we present some other applications requiring non-standard representation of the particles as well as handling of constraints in the optimisation process. In the most typical optimisation case the continuous version of PSO has been successfully applied for the optimization of a soft-linear combiner. On the other hand, one of the adapted binary versions of PSO has been shown to work well in the case of multi-stage organization of majority voting (MOMV), where the search dimension is high and the local search techniques can often get stuck in local optima. (en)
Title
  • Particle Swarm Optimization of Multiple Classifier Systems
  • Particle Swarm Optimization of Multiple Classifier Systems (en)
  • Particle swarm optimalizace víceklasifikátorových systémů (cs)
skos:prefLabel
  • Particle Swarm Optimization of Multiple Classifier Systems
  • Particle Swarm Optimization of Multiple Classifier Systems (en)
  • Particle swarm optimalizace víceklasifikátorových systémů (cs)
skos:notation
  • RIV/68407700:21230/07:03132430!RIV08-MSM-21230___
http://linked.open.../vavai/riv/strany
  • 333;340
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770012)
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
  • 440716
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/07:03132430
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • binary; metaheuristics; optimization; social impact; social psychology (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F90909194C99]
http://linked.open...v/mistoKonaniAkce
  • San Sebastian
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Computational and Ambient Intelligence
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Lhotská, Lenka
  • Macaš, Martin
  • Gabrys, B.
  • Ruta, D.
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
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-540-73006-4
http://localhost/t...ganizacniJednotka
  • 21230
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