The Use of Matlab Parallel Computing Toolbox for Genetic Algorithm-Based MIMO Controller Design
I. Sekaj
Slovak University of Technology in Bratislava
Abstract
The paper describes the use of Matlab’s Parallel Computing Toolbox for parallel genetic algorithm-based design of a MIMO controller. Parallel genetic algorithms (PGA) represents a stochastic optimization approach which is computed in more co-operating and interconnected computation nodes in a parallel mode. Each node of the PGA can be located on the same processor, on more processors or on more computers respectively. This approach is able to solve very complex search/optimization/design tasks, but on the other hand, it requires a high computation power. From that reason the distribution of computation complexity to more processors under Matlab environment is presented.
Full paper
Session
Intelligent Control Systems (Poster)
Reference
Sekaj, I.: The Use of Matlab Parallel Computing Toolbox for Genetic Algorithm-Based MIMO Controller Design. Editors: Fikar, M., Kvasnica, M., In Proceedings of the 17th International Conference on Process Control ’09, Štrbské Pleso, Slovakia, 277–280, 2009
BibTeX
| @inProceedings{pc09-098, | ||
| author | = { | Sekaj, I.}, |
| title | = { | The Use of Matlab Parallel Computing Toolbox for Genetic Algorithm-Based MIMO Controller Design}, |
| booktitle | = { | Proceedings of the 17th International Conference on Process Control '09}, |
| year | = { | 2009}, |
| pages | = { | 277-280}, |
| editor | = { | Fikar, M. and Kvasnica, M.}, |
| address | = { | Štrbské Pleso, Slovakia}, |
| publisher | = { | Slovak University of Technology in Bratislava}, |
| url | = { | http://www.kirp.chtf.stuba.sk/pc09/data/papers/098.pdf}} |