Sensitivity Analysis of Fuzzy-genetic Approach Applied to Cabled-truss Design
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F14%3A00221467" target="_blank" >RIV/68407700:21110/14:00221467 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21220/14:00221467
Result on the web
<a href="http://dx.doi.org/10.3233/IFS-130871" target="_blank" >http://dx.doi.org/10.3233/IFS-130871</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/IFS-130871" target="_blank" >10.3233/IFS-130871</a>
Alternative languages
Result language
angličtina
Original language name
Sensitivity Analysis of Fuzzy-genetic Approach Applied to Cabled-truss Design
Original language description
This paper sheds light on a fuzzy-genetic system applied to optimize cabled-truss structures. The optimization procedure combines ground structure approach, nonlinear finite element analysis, genetic algorithm, and fuzzy logic. The latter is used to include expertise in the evolutionary search to classify and filter individuals with low survival possibility (s(p)). The classification is based on a scale that varies from 0% to 100%, and the filtering depends on a threshold value (S-pt) defined by the user. Particularly, the individuals with s(p) <= S-pt are not evaluated, thereby decreasing the total number of evaluations. Although this approach proved suitable to reduce computational cost, the effect of different S-pt values on the system's performancewas not yet investigated. In that light, this work aims to present a sensitivity analysis of the fuzzy-genetic optimization system to variations of S-pt. For that, the system was applied to ground structures with 10 elements and S-pt val
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JM - Structural engineering
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Intelligent and Fuzzy Systems
ISSN
1064-1246
e-ISSN
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Volume of the periodical
26
Issue of the periodical within the volume
4
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
12
Pages from-to
1931-1942
UT code for WoS article
000332245500030
EID of the result in the Scopus database
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