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Description
  • In surrogate evolutionary algorithms, usually the type of surrogate model is chosen beforehand, and it is never changed during the run of the evolution. Moreover, the reasoning why a particular type of model was chosen is often missing. In this paper, we present a framework which in each generation selects the most suitable surrogate from a set of models based on some pre-defined criteria. The results based on different types of model selectors are compared, and the dynamics of the evolution together with the change of the selected model type during the run of the evolutionary algorithm are discussed.
  • In surrogate evolutionary algorithms, usually the type of surrogate model is chosen beforehand, and it is never changed during the run of the evolution. Moreover, the reasoning why a particular type of model was chosen is often missing. In this paper, we present a framework which in each generation selects the most suitable surrogate from a set of models based on some pre-defined criteria. The results based on different types of model selectors are compared, and the dynamics of the evolution together with the change of the selected model type during the run of the evolutionary algorithm are discussed. (en)
Title
  • Surrogate Model Selection for Evolutionary Multiobjective Optimization
  • Surrogate Model Selection for Evolutionary Multiobjective Optimization (en)
skos:prefLabel
  • Surrogate Model Selection for Evolutionary Multiobjective Optimization
  • Surrogate Model Selection for Evolutionary Multiobjective Optimization (en)
skos:notation
  • RIV/00216208:11320/13:10173113!RIV14-MSM-11320___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
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
  • 109127
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/13:10173113
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • model selection; evolutionary algorithm; meta-model; Multiobjective optimization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [409A817538B9]
http://linked.open...v/mistoKonaniAkce
  • Cancun, Mexico
http://linked.open...i/riv/mistoVydani
  • NEW YORK
http://linked.open...i/riv/nazevZdroje
  • 2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Neruda, Roman
  • Pilát, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000326235301110
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/CEC.2013.6557786
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4799-0454-9
http://localhost/t...ganizacniJednotka
  • 11320
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