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
APPLYING GENETIC ALGORITHMS TO THE OPTIMUM DESIGN OF A CONCERT HALL
β Scribed by S. SATO; K. OTORI; A. TAKIZAWA; H. SAKAI; Y. ANDO; H. KAWAMURA
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 656 KB
- Volume
- 258
- Category
- Article
- ISSN
- 0022-460X
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β¦ Synopsis
Genetic algorithms (GAs), a form of evolutionary computing, have been applied to the design of concert halls. The application of a GA to a system for optimizing a concert hall in terms of four orthogonal factors of a sound field is discussed. The first model was an optimization of the proportions of a hall of the typical shoebox type. The second model is the optimization of the plan of the hall. The results show that the optimized form of the first model is similar to Grosser Musikvereinsaal. The second model took on different characteristics according to the preference for which it was optimized. A leaf-shaped plan is a typical result of the maximization of the scale values of preference for the audience area.
π SIMILAR VOLUMES
A music centre containing a large (1300 seats) and a small (400 seats) concert hall has been built in the city of Eindhoven. The music centre is integrated into a larger building complex, called the 'Heuvel-Galerie" with shopping area (malls), recreational facilities, parking, offices and apartments
Genetic algorithms (GAs) are global optimization techniques inspired by the mechanisms of natural evolution. In many complex problems, GAs have demonstrated to overcome traditional techniques. The key for such success is the efficient exploration of the search space obtained by maintaining diversity