Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm
This article presents a new modified cuckoo search algorithm with dynamic discovery probability and step-size factor for optimizing the Bouc–Wen Model in magnetorheological damper application. The newly proposed algorithm was tested using a set of standard benchmark functions with different searchin...
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| Format: | Article |
| Language: | English |
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SAGE
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/33722/ http://umpir.ump.edu.my/id/eprint/33722/1/Optimization%20of%20Modified%20Bouc.pdf |
| _version_ | 1848824328371568640 |
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| author | Rosmazi, Rosli Zamri, Mohamed |
| author_facet | Rosmazi, Rosli Zamri, Mohamed |
| author_sort | Rosmazi, Rosli |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This article presents a new modified cuckoo search algorithm with dynamic discovery probability and step-size factor for optimizing the Bouc–Wen Model in magnetorheological damper application. The newly proposed algorithm was tested using a set of standard benchmark functions with different searching space and global optima placement. An engineering optimization application was chosen to evaluate the performance of the algorithm in complex engineering applications. The optimization task involved hysteresis parameter identification of the root mean square error between the model and an actual magnetorheological damper. The magnetorheological damper response was chosen as the objective function. The final value of the fitness function and the iteration number it took to converge were used as the qualifying indicator to the proposed cuckoo search algorithm efficiency. A comparison was done against particle swarm optimization, genetic algorithm, and sine–cosine algorithm, where the modified cuckoo search algorithm showed the lowest root mean square error and fastest convergence rate among the three algorithms. |
| first_indexed | 2025-11-15T03:11:17Z |
| format | Article |
| id | ump-33722 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:11:17Z |
| publishDate | 2021 |
| publisher | SAGE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-337222022-04-13T07:13:51Z http://umpir.ump.edu.my/id/eprint/33722/ Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm Rosmazi, Rosli Zamri, Mohamed TJ Mechanical engineering and machinery TS Manufactures This article presents a new modified cuckoo search algorithm with dynamic discovery probability and step-size factor for optimizing the Bouc–Wen Model in magnetorheological damper application. The newly proposed algorithm was tested using a set of standard benchmark functions with different searching space and global optima placement. An engineering optimization application was chosen to evaluate the performance of the algorithm in complex engineering applications. The optimization task involved hysteresis parameter identification of the root mean square error between the model and an actual magnetorheological damper. The magnetorheological damper response was chosen as the objective function. The final value of the fitness function and the iteration number it took to converge were used as the qualifying indicator to the proposed cuckoo search algorithm efficiency. A comparison was done against particle swarm optimization, genetic algorithm, and sine–cosine algorithm, where the modified cuckoo search algorithm showed the lowest root mean square error and fastest convergence rate among the three algorithms. SAGE 2021 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/33722/1/Optimization%20of%20Modified%20Bouc.pdf Rosmazi, Rosli and Zamri, Mohamed (2021) Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm. Journal of Vibration and Control, 27 (17-18). pp. 1-12. ISSN 1077-5463 (print); 1741-2986 (online). (Published) https://doi.org/10.1177%2F1077546320951383 https://doi.org/10.1177%2F1077546320951383 |
| spellingShingle | TJ Mechanical engineering and machinery TS Manufactures Rosmazi, Rosli Zamri, Mohamed Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm |
| title | Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm |
| title_full | Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm |
| title_fullStr | Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm |
| title_full_unstemmed | Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm |
| title_short | Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm |
| title_sort | optimization of modified bouc–wen model for magnetorheological damper using modified cuckoo search algorithm |
| topic | TJ Mechanical engineering and machinery TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/33722/ http://umpir.ump.edu.my/id/eprint/33722/ http://umpir.ump.edu.my/id/eprint/33722/ http://umpir.ump.edu.my/id/eprint/33722/1/Optimization%20of%20Modified%20Bouc.pdf |