Fuzzy-Genetic System Applied to Topology Optimization of Cable-Trusses Modular Design

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F12%3A00194688" target="_blank" >RIV/68407700:21220/12:00194688 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21110/12:00194688
Result on the web
<a href="http://www.springerlink.com/content/978-3-642-32644-8/#section=1115502&page=1" target="_blank" >http://www.springerlink.com/content/978-3-642-32644-8/#section=1115502&page=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-32645-5" target="_blank" >10.1007/978-3-642-32645-5</a>

Result language
angličtina
Original language name
Fuzzy-Genetic System Applied to Topology Optimization of Cable-Trusses Modular Design
Original language description
This paper demonstrates an application of a hybrid system in the designing of lightweight cable-truss structures. The optimized lightweight structure shape is determined by a discrete topology optimization process, in which the optimized solution is considered to have the lower mass and highest stiffness. The optimization process is performed by a genetic algorithm supported by fuzzy logic. Such hybridization allows the inclusion of expertise into the evolutionary search, which permits to create a primary rank that decreases the number of evaluations without losing the credibility of the solutions. The hybrid system is applied for optimization of a 2D robotic arm. The results obtained in the study case highlight the potential benefits of the consideredfuzzy-genetic system over genetic algorithms. In addition, the presented hybrid system has led to structures with higher performance for similar boundary conditions, population and number of iterations.
Czech name
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Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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