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Description
  • In this paper we present a multiobjective evolutionary algorithm which uses surrogate models in two different ways -- during a local search and during pre-selection. Two different approaches to surrogate modeling are used, and the algorithm provides multiple individuals in each generation to enable easy parallelization. The algorithm is tested and compared to standard multiobjective evolutionary algorithms and to our previously developed surrogate evolution strategy. We also discuss the importance of the use of two different approaches and show that it improves the convergence speed significantly.
  • In this paper we present a multiobjective evolutionary algorithm which uses surrogate models in two different ways -- during a local search and during pre-selection. Two different approaches to surrogate modeling are used, and the algorithm provides multiple individuals in each generation to enable easy parallelization. The algorithm is tested and compared to standard multiobjective evolutionary algorithms and to our previously developed surrogate evolution strategy. We also discuss the importance of the use of two different approaches and show that it improves the convergence speed significantly. (en)
Title
  • A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection
  • A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection (en)
skos:prefLabel
  • A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection
  • A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection (en)
skos:notation
  • RIV/67985807:_____/12:00424059!RIV14-GA0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(GAP202/11/1368), P(GD201/09/H057)
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
  • 120671
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/12:00424059
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • evolutionary algorithms; meta-model; multiobjective optimization; surrogate model (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [CB8FD09F9E0E]
http://linked.open...v/mistoKonaniAkce
  • Athens
http://linked.open...i/riv/mistoVydani
  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 24st IEEE International Conference on Tools with Artificial Intelligence
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, M.
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000320861900028
http://linked.open.../riv/zahajeniAkce
issn
  • 1082-3409
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/ICTAI.2012.37
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 978-0-7695-4915-6
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