Abd Samad @ Mahmood, Md Fahmi and Zainuddin, Farah Ayiesya and Jamaluddin, Hishamuddin and Azad, Abul K. M. (2024) A novel single parent mating technique in genetic algorithm for discrete - time system identification. Journal of Advanced Research in Applied Sciences and Engineering Technology, 42 (2). pp. 49-57. ISSN 2462-1943
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Abstract
System identification is concerned with the construction of a mathematical model based on given input and output data to represent the dynamical behaviour of a system. As a step in system identification, model structure selection is a step where a model perceived as adequate system representation is selected. A typical rule is that the model must have a good balance between parsimony and accuracy in estimating a dynamic system. As a popular search method, genetic algorithm (GA) is used for selecting a model structure. However, the optimality of the final model depends much on the optimality of GA. This paper introduces a novel mating technique in GA based on the chromosome structure of the parents such that a single parent is sufficient in achieving mating that demonstrates high exploration capability. In investigating this, four systems of linear and nonlinear classes were simulated to generate discrete-time sets of data i.e. later used for identification. The outcome shows that GA incorporated with the mating technique within 10%-20% of the population size is able to find optimal models quicker than the traditional GA.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Genetic algorithm, Mating, Crossover, System identification, Discrete-time system, Objective function |
| Divisions: | Faculty Of Mechanical Technology And Engineering |
| Depositing User: | Sabariah Ismail |
| Date Deposited: | 25 Jul 2024 09:20 |
| Last Modified: | 25 Jul 2024 09:20 |
| URI: | http://eprints.utem.edu.my/id/eprint/27526 |
| Statistic Details: | View Download Statistic |
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