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Statements

Subject Item
n2:RIV%2F68407700%3A21110%2F13%3A00213906%21RIV14-MSM-21110___
rdf:type
skos:Concept n5:Vysledek
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/68407700:21110/13:00213906!RIV14-MSM-21110___
n5:predkladatel
n6:orjk%3A21110
n3:aktivita
n10:S
n3:aktivity
S
n3:dodaniDat
n7:2014
n3:domaciTvurceVysledku
n9:7848463 Leal Da Silva, Wilson Ricardo
n3:druhVysledku
n15:O
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
95739
n3:idVysledku
RIV/68407700:21110/13:00213906
n3:jazykVysledku
n17:eng
n3:klicovaSlova
hybrid system; cabled-truss; fuzzy logic; genetic algorithm
n3:klicoveSlovo
n11:hybrid%20system n11:cabled-truss n11:fuzzy%20logic n11:genetic%20algorithm
n3:kontrolniKodProRIV
[54A1A910C0CE]
n3:obor
n12:JM
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n7:2013
n3:tvurceVysledku
Finotto, V. C. Leal Da Silva, Wilson Ricardo Štemberk, Petr
n14:organizacniJednotka
21110