Publicacions
A comparative study of genetic operators for controller parameter optimisation
| Area d'investigacio: | Articulos | Any: | 2009 | ||||
|---|---|---|---|---|---|---|---|
| Tipus de publicacio: | Articul | ||||||
| Autors: | Alfaro-Cid, Eva; McGookin, E.W.; Murray-Smith, D.J. | ||||||
| Revista: | Control Engineering Practice | Volum: | 17 | ||||
| Número: | 1 | Pagines: | 185-197 | ||||
| Abstract: | The objective of this paper is to propose a Genetic Algorithm (GA) scheme that works well in a spectrum of controller parameter optimisation problems. A set of 18 different GAs, which combine 3 different selection methods, 3 probabilities of crossover and 2 probabilities of mutation, are used to solve 4 controller parameter optimisation problems and the results obtained are compared. In each of these problems the control methodology varies so the study covers a variety of current control research areas. |
||||||