Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/43852
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mohd Zakimi, Zakaria | - |
dc.contributor.author | Hishamuddin, Jamaluddin | - |
dc.contributor.author | Robiah, Ahmad | - |
dc.contributor.author | Sayed Mohammad Reza, Loghmanian | - |
dc.date.accessioned | 2016-11-07T03:14:45Z | - |
dc.date.available | 2016-11-07T03:14:45Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | Proceedings of 2nd International Conference on Computational Intelligence, Modelling and Simulation, 2010, pages 65-70 | en_US |
dc.identifier.isbn | 978-076954262-1 | - |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/43852 | - |
dc.description | Link to publisher's homepage at http://ieeexplore.ieee.org/ | en_US |
dc.description.abstract | Multiobjective evolutionary algorithms are robust tool in solving many optimization problems. Model structure selection is a procedure in system identification procedures. This procedure counters two contradicting objective functions which are minimizing mean square error and complexity of the selected model. This paper investigates the effectiveness and the performance of multiobjective evolutionary algorithm using elitist nondominated sorting genetic algorithm (NSGA-II) in identifying the model structure for discrete-time multivariable dynamic systems. Two simulated multivariable systems and a real multivariable system, which is a jacketed continuous stirred tank reactor, were used to investigate the effectiveness of NSGA-II. The identified model is validated using one-step-ahead prediction. The results indicate that NSGA-II is able to optimize the model structure of the multivariable systems with good predictive accuracy and adequate model structure. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.ispartofseries | Proceedings of 2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010 2010, Article number 5701823, Pages 65-70 2nd International Conference on Computational Intelligence, Modelling and Simulation;CIMSim 2010 | - |
dc.subject | Model structure selection | en_US |
dc.subject | Multiobjective evolutionary algorithm | en_US |
dc.subject | Multivariable system | en_US |
dc.subject | NSGA-II | en_US |
dc.subject | System identification | en_US |
dc.title | Multiobjective evolutionary algorithm approach in modeling discrete-time multivariable dynamics systems | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/CIMSiM.2010.55 | - |
dc.contributor.url | mzakimi.zakaria@gmail.com | en_US |
dc.contributor.url | hishamj@fkm.utm.my | en_US |
dc.contributor.url | robiah@fkm.utm.my | en_US |
dc.contributor.url | m_loghman2002@yahoo.com | en_US |
Appears in Collections: | Mohd Zakimi Zakaria, Dr |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Multiobjective Evolutionary Algorithm Approach in Modeling Discrete-Time .pdf | 176.79 kB | Adobe PDF | View/Open |
Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.