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Statements

Subject Item
n2:RIV%2F68407700%3A21220%2F13%3A00207522%21RIV14-MSM-21220___
rdf:type
n5:Vysledek skos:Concept
dcterms:description
This paper presents a performance analysis of a fuzzy-genetic system applied to structural optimization. The optimization is based on ground structure approach, nonlinear finite element analysis, genetic algorithm, and fuzzy logic. The latter allows for including expertise in the genetic search to classify and filter individuals with low survival possibility (sp) based on a user-defined threshold value (Spt). The analysis investigates the influence of the fuzzy system on the computational performance of the optimization method. For that, the system was applied to ground structures with 10 elements for 0%<Spt<100%, and the computational cost results were compared by ANOVA test. In the studied case, it was found that Spt=60% is the optimum result. This paper presents a performance analysis of a fuzzy-genetic system applied to structural optimization. The optimization is based on ground structure approach, nonlinear finite element analysis, genetic algorithm, and fuzzy logic. The latter allows for including expertise in the genetic search to classify and filter individuals with low survival possibility (sp) based on a user-defined threshold value (Spt). The analysis investigates the influence of the fuzzy system on the computational performance of the optimization method. For that, the system was applied to ground structures with 10 elements for 0%<Spt<100%, and the computational cost results were compared by ANOVA test. In the studied case, it was found that Spt=60% is the optimum result.
dcterms:title
Performance analysis of fuzzy-genetic system applied to cabled-trusses optimization Performance analysis of fuzzy-genetic system applied to cabled-trusses optimization
skos:prefLabel
Performance analysis of fuzzy-genetic system applied to cabled-trusses optimization Performance analysis of fuzzy-genetic system applied to cabled-trusses optimization
skos:notation
RIV/68407700:21220/13:00207522!RIV14-MSM-21220___
n5:predkladatel
n13:orjk%3A21220
n3:aktivita
n15:S
n3:aktivity
S
n3:dodaniDat
n19:2014
n3:domaciTvurceVysledku
Finotto, Vitor Cores
n3:druhVysledku
n4:D
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
95740
n3:idVysledku
RIV/68407700:21220/13:00207522
n3:jazykVysledku
n8:eng
n3:klicovaSlova
hybrid system; cabled-truss; fuzzy logic; genetic algorithm
n3:klicoveSlovo
n14:cabled-truss n14:genetic%20algorithm n14:hybrid%20system n14:fuzzy%20logic
n3:kontrolniKodProRIV
[487318726F5D]
n3:mistoKonaniAkce
Praha
n3:mistoVydani
Praha
n3:nazevZdroje
PhD Workshop
n3:obor
n9:JM
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n19:2013
n3:tvurceVysledku
Finotto, Vitor Cores Štemberk, Petr Leal Da Silva, Wilson Ricardo
n3:typAkce
n17:CST
n3:zahajeniAkce
2013-05-24+02:00
s:numberOfPages
8
n16:hasPublisher
České vysoké učení technické v Praze. Fakulta stavební
n6:isbn
978-80-01-05236-5
n11:organizacniJednotka
21220