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Description
  • The goal of the paper is to study stochastic algorithms with high self-adaptation which could be used in %22routine%22 task when the global optimization problem is to be solved. A~generalization of the controlled random search (CRS) algorithm is described. Several heuristics generating a new trial point are used at random with probabilities depending on the success of heuristics in preceding steps. This generalized CRS algorithm was compared experimentally with the differential evolution on several test functions. The results showed that the proposed algorithm was more reliable and more effective in most of the test functions. Moreover, the proposed algorithm does not need a special tuning of its input parameters for each task.
  • The goal of the paper is to study stochastic algorithms with high self-adaptation which could be used in %22routine%22 task when the global optimization problem is to be solved. A~generalization of the controlled random search (CRS) algorithm is described. Several heuristics generating a new trial point are used at random with probabilities depending on the success of heuristics in preceding steps. This generalized CRS algorithm was compared experimentally with the differential evolution on several test functions. The results showed that the proposed algorithm was more reliable and more effective in most of the test functions. Moreover, the proposed algorithm does not need a special tuning of its input parameters for each task. (en)
Title
  • Generalized controlled random search and competing heuristics
  • Generalized controlled random search and competing heuristics (en)
skos:prefLabel
  • Generalized controlled random search and competing heuristics
  • Generalized controlled random search and competing heuristics (en)
skos:notation
  • RIV/61988987:17310/04:A10009H9!RIV10-MSM-17310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 179000002)
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
  • 565267
http://linked.open...ai/riv/idVysledku
  • RIV/61988987:17310/04:A10009H9
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • global optimization; controlled random search; competing heuristics; adaptable algorithms (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [71ADC8ED520B]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • MENDEL 2004
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
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
number of pages
http://purl.org/ne...btex#hasPublisher
  • University of Technology
https://schema.org/isbn
  • 80-214-2676-4
http://localhost/t...ganizacniJednotka
  • 17310
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