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  • In the field of multi-objective optimization there have been attempts to reduce the number of objective function evaluations by the use of surrogate models. However, in many-objective optimization, this work still has to be done to make the optimizers more practically usable. In this paper we show, that aggregate meta-models can be used even for the many-objective optimization and that they can also improve the performance of the many-objective optimizer. Moreover, meta-models are discussed from another point of view and compared to scalarization techniques in many-objective optimization. Two algorithms using our models are compared to IBEA on a set of selected benchmark functions with 5, 10, and 15 objectives.
  • In the field of multi-objective optimization there have been attempts to reduce the number of objective function evaluations by the use of surrogate models. However, in many-objective optimization, this work still has to be done to make the optimizers more practically usable. In this paper we show, that aggregate meta-models can be used even for the many-objective optimization and that they can also improve the performance of the many-objective optimizer. Moreover, meta-models are discussed from another point of view and compared to scalarization techniques in many-objective optimization. Two algorithms using our models are compared to IBEA on a set of selected benchmark functions with 5, 10, and 15 objectives. (en)
Title
  • Improving many-objective optimizers with aggregate meta-models
  • Improving many-objective optimizers with aggregate meta-models (en)
skos:prefLabel
  • Improving many-objective optimizers with aggregate meta-models
  • Improving many-objective optimizers with aggregate meta-models (en)
skos:notation
  • RIV/67985807:_____/11:00375280!RIV12-AV0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP202/11/1368), P(GD201/09/H057), Z(AV0Z10300504)
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
  • 203971
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/11:00375280
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • many-objective optimization; meta-models; surrogate models; evolutionary algorithms (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4CD1120870FB]
http://linked.open...v/mistoKonaniAkce
  • Malacca
http://linked.open...i/riv/mistoVydani
  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems (HIS)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Neruda, Roman
  • Pilát, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/HIS.2011.6122165
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4577-2151-9
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