Hybrid genetic manta ray foraging optimization and its application to interval type 2 fuzzy logic control of an inverted pendulum system
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 ch...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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IOP Publishing
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/30002/1/Hybrid%20genetic%20manta%20ray%20foraging%20optimization%20and%20its%20application.pdf |
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| author | Ahmad Azwan, Abdul Razak Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Shuhairie, Mohammad Mohd Falfazli, Mat Jusof Nurul Amira, Mhd Rizal |
| author_facet | Ahmad Azwan, Abdul Razak Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Shuhairie, Mohammad Mohd Falfazli, Mat Jusof Nurul Amira, Mhd Rizal |
| author_sort | Ahmad Azwan, Abdul Razak |
| collection | UMP |
| description | 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. |
| first_indexed | 2024-03-06T12:46:35Z |
| format | Conference or Workshop Item |
| id | UMPir30002 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:46:35Z |
| publishDate | 2020 |
| publisher | IOP Publishing |
| record_format | dspace |
| spelling | UMPir300022022-06-21T01:35:46Z http://umpir.ump.edu.my/id/eprint/30002/ Hybrid genetic manta ray foraging optimization and its application to interval type 2 fuzzy logic control of an inverted pendulum system Ahmad Azwan, Abdul Razak Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Shuhairie, Mohammad Mohd Falfazli, Mat Jusof Nurul Amira, Mhd Rizal TK Electrical engineering. Electronics Nuclear engineering 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. IOP Publishing 2020-09-21 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/30002/1/Hybrid%20genetic%20manta%20ray%20foraging%20optimization%20and%20its%20application.pdf 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) (Published) https://doi.org/10.1088/1757-899X/917/1/012082 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ahmad Azwan, Abdul Razak Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Shuhairie, Mohammad Mohd Falfazli, Mat Jusof Nurul Amira, Mhd Rizal Hybrid genetic manta ray foraging optimization and its application to interval type 2 fuzzy logic control of an inverted pendulum system |
| title | Hybrid genetic manta ray foraging optimization and its application to interval type 2 fuzzy logic control of an inverted pendulum system |
| title_full | Hybrid genetic manta ray foraging optimization and its application to interval type 2 fuzzy logic control of an inverted pendulum system |
| title_fullStr | Hybrid genetic manta ray foraging optimization and its application to interval type 2 fuzzy logic control of an inverted pendulum system |
| title_full_unstemmed | Hybrid genetic manta ray foraging optimization and its application to interval type 2 fuzzy logic control of an inverted pendulum system |
| title_short | Hybrid genetic manta ray foraging optimization and its application to interval type 2 fuzzy logic control of an inverted pendulum system |
| title_sort | hybrid genetic manta ray foraging optimization and its application to interval type 2 fuzzy logic control of an inverted pendulum system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/30002/1/Hybrid%20genetic%20manta%20ray%20foraging%20optimization%20and%20its%20application.pdf |
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