Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
The genetic algorithm approach is widely recognized as an effective and flexible optimization method for system identification. The flexibility of a genetic algorithm allows various strategies to be applied to it. One of the strategies applied is the modified genetic algorithm which relies on, among...
Saved in:
Main Authors: | Jamaluddin, Hishamuddin, Abd. Samad, M. F., Ahmad, Robiah, Yaacob, M. S. |
---|---|
Format: | Article |
Published: |
Professional Engineering Publishing
2007
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/5517/ http://dx.doi.org/10.1243/09596518JSCE362 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
by: Jamaluddin, H., et al.
Published: (2007) -
Optimum grouping in a modified genetic algorithm
for discrete-time, non-linear system identification
by: Abd Samad, Md Fahmi
Published: (2007) -
Optimum grouping in a mod wed genetic algorithm for discrete-time, non-linear system identification
by: Jamaluddin, H.
Published: (2007) -
Model structure selection for a discrete-time non-linear
system using genetic algorithm
by: Ahmad, Robiah, et al.
Published: (2004) -
Identification of discrete-time dynamic systems using modified genetic algorithm
by: Ahmad, Robiah
Published: (2004)