A Novel Single Parent Mating Technique in Genetic Algorithm for Discrete – Time System Identification

Authors

  • Farah Ayiesya Zainuddin Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Md Fahmi Abd Samad Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Hishamuddin Jamaluddin Faculty of Engineering and Information Technology, Southern University College, 81300 Johor Bahru, Johor, Malaysia
  • Abul K. M. Azad College of Engineering and Engineering Technology, Department of Engineering Technology, Northern Illinois University, Illinois 60115, United States of America

DOI:

https://doi.org/10.37934/araset.42.2.4957

Keywords:

Genetic algorithm, Mating, Crossover, System identification, Discrete-time system, Objective function

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.

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Author Biographies

Farah Ayiesya Zainuddin, Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

p041910001@student.utem.edu.my

Md Fahmi Abd Samad, Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

mdfahmi@utem.edu.my

Hishamuddin Jamaluddin, Faculty of Engineering and Information Technology, Southern University College, 81300 Johor Bahru, Johor, Malaysia

hishamuddin@sc.edu.my

Abul K. M. Azad, College of Engineering and Engineering Technology, Department of Engineering Technology, Northern Illinois University, Illinois 60115, United States of America

aazad@niu.edu

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Published

2024-04-03

How to Cite

Zainuddin, F. A., Abd Samad, M. F., Jamaluddin, H., & Abul K. M. Azad. (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), 49–57. https://doi.org/10.37934/araset.42.2.4957

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Articles