In discussing self-organizing neural networks, to some extent a large-scale network is assumed in order to achieve generality and adaptability. This paper discusses an optimal structurization method for a nonlinear network, based on a self-organizing algorithm with a two-layer structure. The basic s
A multilevel genetic algorithm for the optimum design of structural control systems
β Scribed by Q. S. Li; D. K. Liu; A. Y. T. Leung; N. Zhang; Q. Z. Luo
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 234 KB
- Volume
- 55
- Category
- Article
- ISSN
- 0029-5981
- DOI
- 10.1002/nme.522
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A regional genetic algorithm (R-GA) is used for the discrete optimal design of truss structures. The chromosomes are selected from a sub-region centred on the continuous optimum. This approach replaces genetic rebirth as previously proposed by other authors, thereby signiΓΏcantly reducing computation
A hybrid optimization algorithm is developed to minimize the control energy and the structural weight under the constraints of the structural dynamic property requirements. A 72-bar space truss with two piezoelectric actuators is used to illustrate the complete process of this algorithm. It is shown