Alfaro-Cid, E., McGookin, E.W. and Murray-Smith, D.J. (2009) A comparative study of genetic operators for controller parameter optimisation. Control Engineering Practice, 17(1), pp. 185-197. (doi: 10.1016/j.conengprac.2008.06.001)
Full text not currently available from Enlighten.
Publisher's URL: http://dx.doi.org/10.1016/j.conengprac.2008.06.001
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 three different selection methods, three probabilities of crossover and two probabilities of mutation, are used to solve four 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.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | McGookin, Dr Euan and Murray-Smith, Professor David |
| Authors: | Alfaro-Cid, E., McGookin, E.W., and Murray-Smith, D.J. |
| College/School: | College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity |
| Journal Name: | Control Engineering Practice |
| ISSN: | 0967-0661 |
University Staff: Request a correction | Enlighten Editors: Update this record
Deposit and Record Details
Deposit and Record Details