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Description
  • Adaptation of control parameters in differential evolution is considered. Five adaptive variants of differential evolution are applied to the estimation of parameters in nonlinear regression models and their performance is compared experimentally with the adaptive controlled random search algorithm tailored especially for these problems. The NIST nonlinear regression datasets are used as a benchmark. Two of five tested variants of adaptive differential evolution perform almost as reliable as the adaptive controlled random search algorithm and one of these two variants converges only slightly slower and its time requirements are almost comparable with the adaptive controlled random search.
  • Adaptation of control parameters in differential evolution is considered. Five adaptive variants of differential evolution are applied to the estimation of parameters in nonlinear regression models and their performance is compared experimentally with the adaptive controlled random search algorithm tailored especially for these problems. The NIST nonlinear regression datasets are used as a benchmark. Two of five tested variants of adaptive differential evolution perform almost as reliable as the adaptive controlled random search algorithm and one of these two variants converges only slightly slower and its time requirements are almost comparable with the adaptive controlled random search. (en)
Title
  • Adaptive Differential Evolution: Application to Nonlinear Regression
  • Adaptive Differential Evolution: Application to Nonlinear Regression (en)
skos:prefLabel
  • Adaptive Differential Evolution: Application to Nonlinear Regression
  • Adaptive Differential Evolution: Application to Nonlinear Regression (en)
skos:notation
  • RIV/61988987:17310/07:A1000LAQ!RIV10-MSM-17310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/05/0284), Z(MSM6198898701)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 408536
http://linked.open...ai/riv/idVysledku
  • RIV/61988987:17310/07:A1000LAQ
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  • Global optimization; differential evolution; self-adaptation of control parameters; nonlinear regression. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A6A4519BE401]
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  • Wisla
http://linked.open...i/riv/mistoVydani
  • Wisla
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the International Multiconference on Computer Science and Information Technology
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http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Tvrdík, Josef
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1896-7094
number of pages
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  • PTI
http://localhost/t...ganizacniJednotka
  • 17310
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