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Application of memetic algorithm in modelling discrete-time multivariable dynamics systems

Ahmad, Robiah and Jamaluddin, Hishamuddin and Hussain, Mohd. Azlan (2008) Application of memetic algorithm in modelling discrete-time multivariable dynamics systems. Mechanical Systems and Signal Processing, 22 (7). pp. 1595-1609. ISSN 0888-3270

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Official URL: http://dx.doi.org/10.1016/j.ymssp.2008.01.006


Evolutionary algorithm (EA) such as genetic algorithm (GA) has demonstrated to be an effective method for identification of single-input–single-output (SISO) system. However, for multivariable systems, increasing the orders and the non-linear degrees of the model will result in excessively complex model and the identification procedure for the systems is more often difficult because couplings between inputs and outputs. There are more possible structures to choose from and more parameters are required to obtain a good fit. In this work, a new model structure selection in system identification problems based on a modified GA with an element of local search known as memetic algorithm (MA) is adopted. This paper describes the procedure and investigates the performance and the effectiveness of MA based on a few case studies. The results indicate that the proposed algorithm is able to select the model structure of a system successfully. A comparison of MA with other algorithms such as GAs demonstrates that MA is capable of producing adequate and parsimonious models effectively.

Item Type:Article
Uncontrolled Keywords:model structure selection, system identification, dynamic system, genetic algorithms, memetic algorithm
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:7488
Deposited By: Norhafizah Hussin
Deposited On:06 Jan 2009 04:24
Last Modified:01 Jun 2010 15:52

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