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Statements

Subject Item
n2:RIV%2F68407700%3A21260%2F11%3A00185769%21RIV12-MSM-21260___
rdf:type
skos:Concept n15:Vysledek
dcterms:description
Presented paper deals with description of multilayered evolutionary system optimized to symbolic regression of difficult systems like e.g. deterministic chaos ones. This paper starts with brief introduction of previous works and ideas. Then the structure of Genetic Programmiing Algorithm - Evolutionary Strategu hybrid system is described and analyzed including such problems as suitability to parallel implementation, optimal set of building blocks, or initial population generating rules. GPA-ES combines GPA to model development with ES used for model parameter identification. Such hybrid system eliminates many weakness of standard GPA. The paper ends with examples of GPA-ES application. Presented paper deals with description of multilayered evolutionary system optimized to symbolic regression of difficult systems like e.g. deterministic chaos ones. This paper starts with brief introduction of previous works and ideas. Then the structure of Genetic Programmiing Algorithm - Evolutionary Strategu hybrid system is described and analyzed including such problems as suitability to parallel implementation, optimal set of building blocks, or initial population generating rules. GPA-ES combines GPA to model development with ES used for model parameter identification. Such hybrid system eliminates many weakness of standard GPA. The paper ends with examples of GPA-ES application.
dcterms:title
Multi-layered evolutionary system suitable to symbolic model regression Multi-layered evolutionary system suitable to symbolic model regression
skos:prefLabel
Multi-layered evolutionary system suitable to symbolic model regression Multi-layered evolutionary system suitable to symbolic model regression
skos:notation
RIV/68407700:21260/11:00185769!RIV12-MSM-21260___
n15:predkladatel
n16:orjk%3A21260
n3:aktivita
n13:Z
n3:aktivity
Z(MSM6840770043)
n3:dodaniDat
n6:2012
n3:domaciTvurceVysledku
n14:4949935
n3:druhVysledku
n20:D
n3:duvernostUdaju
n11:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
214254
n3:idVysledku
RIV/68407700:21260/11:00185769
n3:jazykVysledku
n19:eng
n3:klicovaSlova
Genetic Algorithm; Genetic Programming Alggorithm; Evolutionary Strategy; Symbolic Regression; Model Development
n3:klicoveSlovo
n5:Genetic%20Programming%20Alggorithm n5:Symbolic%20Regression n5:Evolutionary%20Strategy n5:Genetic%20Algorithm n5:Model%20Development
n3:kontrolniKodProRIV
[735128EC1EF2]
n3:mistoKonaniAkce
Praha
n3:mistoVydani
Athens
n3:nazevZdroje
Proceedings of the NAUN/IEEE.AM International Conferences
n3:obor
n9:JD
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n6:2011
n3:tvurceVysledku
Brandejský, Tomáš
n3:typAkce
n12:EUR
n3:zahajeniAkce
2011-09-26+02:00
n3:zamer
n21:MSM6840770043
s:numberOfPages
4
n22:hasPublisher
WSEAS Press
n18:isbn
978-1-61804-038-1
n7:organizacniJednotka
21260