Mating-based manta ray foraging optimization for fuzzy-hammerstein model of an electric water heater
This paper presents an improved variant of the Manta Ray Foraging Optimization (MRFO) algorithm. The optimization method of the original MRFO is a combination of random and spiral strategies. Like other optimization algorithms, MRFO still has a limitation when applied to a co...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Penerbit Akademia Baru
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/44017/ http://umpir.ump.edu.my/id/eprint/44017/1/Mating-Based%20Manta%20Ray%20Foraging%20Optimization%20for%20Fuzzy-Hammerstein.pdf |
| _version_ | 1848827010972909568 |
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| author | Ahmad Nor Kasruddin, Nasir Mohd Almaa Anwari, Roslan Mohd Falfazli, Mat Jusof Mohd Redzuan, Ahmad Ahmad Azwan, Abdul Razak |
| author_facet | Ahmad Nor Kasruddin, Nasir Mohd Almaa Anwari, Roslan Mohd Falfazli, Mat Jusof Mohd Redzuan, Ahmad Ahmad Azwan, Abdul Razak |
| author_sort | Ahmad Nor Kasruddin, Nasir |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This paper presents an improved variant of the Manta Ray Foraging Optimization (MRFO) algorithm. The optimization method of the original MRFO is a combination of random and spiral strategies. Like other optimization algorithms, MRFO still has a limitation when applied to a complex real-world problem. In this work, mating strategy of a barnacle species is incorporated into the MRFO algorithm. It allows good features of the parent manta ray to be inherited by its offspring thus creating a high-quality population. The proposed algorithm is applied to acquire a dynamic model of an electric water heater. A fuzzy-Hammerstein model is chosen as the candidate model for the water heater considering electrical voltage and water temperature as the input and output responses respectively. The result of the modelling has shown MRFO and the proposed MRFO variant have satisfactorily acquired the dynamic model of the water heater. The improved MRFO variant has tracked the output temperature response more accurately than the original MRFO at costs 425 and 508 respectively. |
| first_indexed | 2025-11-15T03:53:55Z |
| format | Article |
| id | ump-44017 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:53:55Z |
| publishDate | 2024 |
| publisher | Penerbit Akademia Baru |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-440172025-03-10T01:56:22Z http://umpir.ump.edu.my/id/eprint/44017/ Mating-based manta ray foraging optimization for fuzzy-hammerstein model of an electric water heater Ahmad Nor Kasruddin, Nasir Mohd Almaa Anwari, Roslan Mohd Falfazli, Mat Jusof Mohd Redzuan, Ahmad Ahmad Azwan, Abdul Razak TK Electrical engineering. Electronics Nuclear engineering This paper presents an improved variant of the Manta Ray Foraging Optimization (MRFO) algorithm. The optimization method of the original MRFO is a combination of random and spiral strategies. Like other optimization algorithms, MRFO still has a limitation when applied to a complex real-world problem. In this work, mating strategy of a barnacle species is incorporated into the MRFO algorithm. It allows good features of the parent manta ray to be inherited by its offspring thus creating a high-quality population. The proposed algorithm is applied to acquire a dynamic model of an electric water heater. A fuzzy-Hammerstein model is chosen as the candidate model for the water heater considering electrical voltage and water temperature as the input and output responses respectively. The result of the modelling has shown MRFO and the proposed MRFO variant have satisfactorily acquired the dynamic model of the water heater. The improved MRFO variant has tracked the output temperature response more accurately than the original MRFO at costs 425 and 508 respectively. Penerbit Akademia Baru 2024-12-30 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/44017/1/Mating-Based%20Manta%20Ray%20Foraging%20Optimization%20for%20Fuzzy-Hammerstein.pdf Ahmad Nor Kasruddin, Nasir and Mohd Almaa Anwari, Roslan and Mohd Falfazli, Mat Jusof and Mohd Redzuan, Ahmad and Ahmad Azwan, Abdul Razak (2024) Mating-based manta ray foraging optimization for fuzzy-hammerstein model of an electric water heater. Journal of Advanced Research in Applied Mechanics, 129 (1). pp. 32-43. ISSN 2289-7895. (In Press / Online First) (Foreword) (In Press / Online First) https://doi.org/10.37934/aram.129.1.3243 https://doi.org/10.37934/aram.129.1.3243 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ahmad Nor Kasruddin, Nasir Mohd Almaa Anwari, Roslan Mohd Falfazli, Mat Jusof Mohd Redzuan, Ahmad Ahmad Azwan, Abdul Razak Mating-based manta ray foraging optimization for fuzzy-hammerstein model of an electric water heater |
| title | Mating-based manta ray foraging optimization for fuzzy-hammerstein model of an electric water heater |
| title_full | Mating-based manta ray foraging optimization for fuzzy-hammerstein model of an electric water heater |
| title_fullStr | Mating-based manta ray foraging optimization for fuzzy-hammerstein model of an electric water heater |
| title_full_unstemmed | Mating-based manta ray foraging optimization for fuzzy-hammerstein model of an electric water heater |
| title_short | Mating-based manta ray foraging optimization for fuzzy-hammerstein model of an electric water heater |
| title_sort | mating-based manta ray foraging optimization for fuzzy-hammerstein model of an electric water heater |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/44017/ http://umpir.ump.edu.my/id/eprint/44017/ http://umpir.ump.edu.my/id/eprint/44017/ http://umpir.ump.edu.my/id/eprint/44017/1/Mating-Based%20Manta%20Ray%20Foraging%20Optimization%20for%20Fuzzy-Hammerstein.pdf |