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  • Several adaptive variants of differential evolution are described and compared in two sets of benchmark problems. The influence of exponential crossover on efficiency of the search is studied. Self-adaptive variants of differential evolution (DE) are also applied to the estimation of parametrers in non-linear regression models from NIST reference datasets and compared with self-adaptive variant of controlled random search (CRS) tailored for regression-parameter estimation. However, only several variants of DE outperformed CRS in a few regression tasks. In spite of this fact, the use of both types of crossover together makes DE algorithm more robust. Such algorithm might be applicable to for the real-world problems, where we need to get solution without time-wasting parameter tuning.
  • Several adaptive variants of differential evolution are described and compared in two sets of benchmark problems. The influence of exponential crossover on efficiency of the search is studied. Self-adaptive variants of differential evolution (DE) are also applied to the estimation of parametrers in non-linear regression models from NIST reference datasets and compared with self-adaptive variant of controlled random search (CRS) tailored for regression-parameter estimation. However, only several variants of DE outperformed CRS in a few regression tasks. In spite of this fact, the use of both types of crossover together makes DE algorithm more robust. Such algorithm might be applicable to for the real-world problems, where we need to get solution without time-wasting parameter tuning. (en)
Title
  • Self-adaptive Variants of Differential Evolution with Exponential Crossover
  • Self-adaptive Variants of Differential Evolution with Exponential Crossover (en)
skos:prefLabel
  • Self-adaptive Variants of Differential Evolution with Exponential Crossover
  • Self-adaptive Variants of Differential Evolution with Exponential Crossover (en)
skos:notation
  • RIV/61988987:17310/09:A1000RZZ!RIV10-MSM-17310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/08/0472), Z(MSM6198898701)
http://linked.open...iv/cisloPeriodika
  • 2
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
  • 340677
http://linked.open...ai/riv/idVysledku
  • RIV/61988987:17310/09:A1000RZZ
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Global optimization; differential evolution; self-adaptation; experimental comparison; non-linear regression (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • RO - Rumunsko
http://linked.open...ontrolniKodProRIV
  • [B2A40E881D46]
http://linked.open...i/riv/nazevZdroje
  • Analele Universitatii de Vest, Timisoara.Seria Matematica-Informatica.
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...v/svazekPeriodika
  • 47
http://linked.open...iv/tvurceVysledku
  • Tvrdík, Josef
http://linked.open...n/vavai/riv/zamer
issn
  • 1224-970X
number of pages
http://localhost/t...ganizacniJednotka
  • 17310
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