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  • Není k dispozici (cs)
  • This paper presents a novel approach to improve the performance of genetic algorithms - called genetic algorithms with real-coded binary representation (GARB). The proposed algorithm is capable of maintaining the population diversity during the whole run which protects it from premature convergence. This is achieved by using a special encoding scheme with a high redundancy, which is supported by so-called gene-strength adaptation mechanism. The proposed approach was evaluated on various test problems, all of them considered to be hard for standard genetic algorithms. The results show the algorithm significantly outperforms standard genetic algorithm and achieves results competitive with other techniques on non-stationary problems.
  • This paper presents a novel approach to improve the performance of genetic algorithms - called genetic algorithms with real-coded binary representation (GARB). The proposed algorithm is capable of maintaining the population diversity during the whole run which protects it from premature convergence. This is achieved by using a special encoding scheme with a high redundancy, which is supported by so-called gene-strength adaptation mechanism. The proposed approach was evaluated on various test problems, all of them considered to be hard for standard genetic algorithms. The results show the algorithm significantly outperforms standard genetic algorithm and achieves results competitive with other techniques on non-stationary problems. (en)
Title
  • Není k dispozici (cs)
  • Binary or Real? Real-coded Binary!
  • Binary or Real? Real-coded Binary! (en)
skos:prefLabel
  • Není k dispozici (cs)
  • Binary or Real? Real-coded Binary!
  • Binary or Real? Real-coded Binary! (en)
skos:notation
  • RIV/68407700:21230/04:03104112!RIV/2005/GA0/212305/N
http://linked.open.../vavai/riv/strany
  • 201 ; 206
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/02/0132)
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
  • 556144
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/04:03104112
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • genetic algorithms; premature convergence; redundancy; representation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4F6A7F97503C]
http://linked.open...v/mistoKonaniAkce
  • Nottingham
http://linked.open...i/riv/mistoVydani
  • Nottingham
http://linked.open...i/riv/nazevZdroje
  • Recent Advances in Soft Computing 2004
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
  • Kubalík, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • University of Nottingham
https://schema.org/isbn
  • 1-84233-110-8
http://localhost/t...ganizacniJednotka
  • 21230
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