In this paper, genetic algorithms are applied for optimization of dimensions of cold-formed steel trapezoidal sheeting. The objective of the optimization is to obtain the minimum weight subjected to the given constraints in accordance with Eurocode 3, Part 1.3. In traditional optimization, these con
β¦ LIBER β¦
Accelerating fuzzy genetic algorithm for the optimization of steel structures
β Scribed by Payam Ashtari; Farshid Barzegar
- Publisher
- Springer-Verlag
- Year
- 2011
- Tongue
- English
- Weight
- 323 KB
- Volume
- 45
- Category
- Article
- ISSN
- 1615-1488
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Fuzzy optimization of cold-formed steel
β
Wei Lu; Pentti MΓ€kelΓ€inen
π
Article
π
2006
π
Elsevier Science
π
English
β 404 KB
A modified elitist genetic algorithm app
β
MarΓa BelΓ©n Prendes Gero; Antonio Bello GarcΓa; Juan JosΓ© del Coz DΓaz
π
Article
π
2005
π
Elsevier Science
π
English
β 559 KB
Optimization of Fuzzy Controller for an
β
M.G. Perhinschi
π
Article
π
2002
π
John Wiley and Sons
β 78 KB
π 2 views
Design optimization of 3D steel structur
β
MarΓa BelΓ©n Prendes Gero; Antonio Bello GarcΓa; Juan JosΓ© del Coz DΓaz
π
Article
π
2006
π
Elsevier Science
π
English
β 817 KB
In this paper an elitist genetic algorithm (GA) developed by the authors is compared with common commercial solutions for complex structural optimization. After its prior validation on two-dimensional (2D) structures, the GA was tuned and improved in order to obtain structural elements with minimum
A genetic algorithm for the structural o
β
Chris Roberts; Roy L. Johnston; Nicholas T. Wilson
π
Article
π
2000
π
Springer
π
English
β 490 KB
A fuzzy-tuned genetic algorithm for opti
β
N. C. Sahoo; R. Ranjan; K. Prasad; A. Chaturvedi
π
Article
π
2007
π
John Wiley and Sons
π
English
β 157 KB
π 1 views