Buy article PDF
The purchased file will be sent to you
via email after the payment is completed.
US$ 35
|
Structural Engineering and Mechanics Volume 7, Number 5, May 1999 , pages 485-502 DOI: https://doi.org/10.12989/sem.1999.7.5.485 |
|
|
|
Hopfield neuron based nonlinear constrained programming to fuzzy structural engineering optimization |
||
Shih CJ, Chang CC
|
||
| Abstract | ||
| Using the continuous Hopfield network model as the basis to solve the general crisp and fuzzy constrained optimization problem is presented and examined. The model lies in its transformation to a parallel algorithm which distributes the work of numerical optimization to several simultaneously computing processors. The method is applied to different structural engineering design problems that demonstrate this usefulness, satisfaction or potential. The computing algorithm has been given and discussed for a designer who can program it without difficulty. | ||
| Key Words | ||
| Hopfield-Tank neural networks, Hopfield neuron based optimization, engineering optimization, structural optimization, fuzzy optimization, nonlinear programming | ||
| Address | ||
| Shih CJ, Tamkang Univ, Dept Engn Mech, Tamsui 25137, Taiwan Tamkang Univ, Dept Engn Mech, Tamsui 25137, Taiwan | ||