Sensitivity Analysis of Fuzzy-genetic Approach Applied to Cabled-truss Design

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21220/14:00221467

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Sensitivity Analysis of Fuzzy-genetic Approach Applied to Cabled-truss Design

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Sensitivity Analysis of Fuzzy-genetic Approach Applied to Cabled-truss Design

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JM - Inženýrské stavitelství

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Intelligent and Fuzzy Systems

ISSN

1064-1246

e-ISSN

—

Svazek periodika

26

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

12

Strana od-do

1931-1942

Kód UT WoS článku

000332245500030

EID výsledku v databázi Scopus

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