Ahmad Azwan, Abdul Razak and Ahmad Nor Kasruddin, Nasir and Normaniha, Abd Ghani and Shuhairie, Mohammad and Mohd Falfazli, Mat Jusof and Nurul Amira, Mhd Rizal (2020) Hybrid genetic manta ray foraging optimization and its application to interval type 2 fuzzy logic control of an inverted pendulum system. In: IOP Conference Series: Materials Science and Engineering; 2020 International Conference on Technology, Engineering and Sciences, ICTES 2020 , 17 - 18 April 2020 , Penang. pp. 1-12., 917 (1). ISSN 1757-8981 (Print), 1757-899X (Online)
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Abstract
This paper presents an improvised version of Manta-Ray Foraging Optimization (MRFO) by using components in Genetic Algorithm (GA). MRFO is a recent proposed algorithm which based on the behaviour of manta rays. The algorithm imitates three foraging strategies of this cartilaginous fish, which are chain foraging, cyclone foraging and somersault foraging to find foods. However, this optimization algorithm can be improved in its strategy which increases its accuracy. Thus, in this proposed improvement, mutation and crossover strategy from GA were adopted into MRFO. Crossover operation is a convergence action which is purposely to pull the agents towards an optimum point. At the meanwhile, mutation operation is a divergence action which purposely to spread out the agents throughout wider feasible region. Later, the algorithms were performed on several benchmark functions and statically tested by using Wilcoxon signed-rank test to know their performances. To test the algorithm with a real application, the algorithms were applied to an interval type 2 fuzzy logic controller (IT2FLC) of an inverted pendulum system. Result of the test on benchmark functions shows that GMRFO outperformed MRFO and GA and it shows that it provides a better parameter of the control system for a better response.
| Item Type: | Conference or Workshop Item (Lecture) |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Manta-ray foraging optimization; Genetic algorithm; Fuzzy logic control; Inverted pendulum system |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 21 Jun 2022 01:35 |
| Last Modified: | 21 Jun 2022 01:35 |
| URI: | http://umpir.ump.edu.my/id/eprint/30002 |
| Download Statistic: | View Download Statistics |
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