A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction
The current study introduces the hybridization of the Nonlinear Sine Cosine Algorithm (NSCA) and Safe Experimentation Dynamics (SED) as a novel optimization method for model order reduction of high-order single-input single-output (SISO) systems. Reciprocated synergism between both meta-heuristic al...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/38259/1/A%20novel%20hybrid%20of%20Nonlinear%20Sine%20Cosine%20Algorithm%20and%20Safe%20Experimentation%20Dynamics%20for%20model%20order%20reduction.pdf |
| _version_ | 1796995832738742272 |
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| author | Mohd Helmi, Suid Mohd Ashraf, Ahmad |
| author_facet | Mohd Helmi, Suid Mohd Ashraf, Ahmad |
| author_sort | Mohd Helmi, Suid |
| collection | UMP |
| description | The current study introduces the hybridization of the Nonlinear Sine Cosine Algorithm (NSCA) and Safe Experimentation Dynamics (SED) as a novel optimization method for model order reduction of high-order single-input single-output (SISO) systems. Reciprocated synergism between both meta-heuristic algorithms is achieved by appropriating the nonlinear position-updated mechanism of NSCA for enhanced exploration/exploitation competencies and proficiency of SED in maximizing stagnation avoidance within the local optima. Named the NSCA-SED algorithm, the applicability of the proposed method is assessed by scholastic adoption of a sixth-order numerical transfer function towards two independent high-order systems enclosing Double-Pendulum Overhead Crane and Flexible Manipulator. Experimentation results further suggested NSCA-SED as the superior alternative in terms of execution robustness and consistency excellence against other available optimization-based methods for tackling model order reduction. Exemplified simulations sequentially demonstrated considerable improvements by the employment of NSCA-SED over conventional SCA following respective enhanced proportions of 97.17%, 13.17% and 29.03% for Example 1, Example 2 and Example 3. |
| first_indexed | 2024-03-06T13:08:05Z |
| format | Article |
| id | UMPir38259 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T13:08:05Z |
| publishDate | 2023 |
| publisher | Taylor & Francis |
| record_format | dspace |
| spelling | UMPir382592023-08-09T08:16:14Z http://umpir.ump.edu.my/id/eprint/38259/ A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction Mohd Helmi, Suid Mohd Ashraf, Ahmad TK Electrical engineering. Electronics Nuclear engineering The current study introduces the hybridization of the Nonlinear Sine Cosine Algorithm (NSCA) and Safe Experimentation Dynamics (SED) as a novel optimization method for model order reduction of high-order single-input single-output (SISO) systems. Reciprocated synergism between both meta-heuristic algorithms is achieved by appropriating the nonlinear position-updated mechanism of NSCA for enhanced exploration/exploitation competencies and proficiency of SED in maximizing stagnation avoidance within the local optima. Named the NSCA-SED algorithm, the applicability of the proposed method is assessed by scholastic adoption of a sixth-order numerical transfer function towards two independent high-order systems enclosing Double-Pendulum Overhead Crane and Flexible Manipulator. Experimentation results further suggested NSCA-SED as the superior alternative in terms of execution robustness and consistency excellence against other available optimization-based methods for tackling model order reduction. Exemplified simulations sequentially demonstrated considerable improvements by the employment of NSCA-SED over conventional SCA following respective enhanced proportions of 97.17%, 13.17% and 29.03% for Example 1, Example 2 and Example 3. Taylor & Francis 2023 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/38259/1/A%20novel%20hybrid%20of%20Nonlinear%20Sine%20Cosine%20Algorithm%20and%20Safe%20Experimentation%20Dynamics%20for%20model%20order%20reduction.pdf Mohd Helmi, Suid and Mohd Ashraf, Ahmad (2023) A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction. Automatika, 64 (1). pp. 34-50. ISSN 0005-1144. (Published) https://doi.org/10.1080/00051144.2022.2098085 https://doi.org/10.1080/00051144.2022.2098085 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mohd Helmi, Suid Mohd Ashraf, Ahmad A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction |
| title | A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction |
| title_full | A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction |
| title_fullStr | A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction |
| title_full_unstemmed | A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction |
| title_short | A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction |
| title_sort | novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/38259/1/A%20novel%20hybrid%20of%20Nonlinear%20Sine%20Cosine%20Algorithm%20and%20Safe%20Experimentation%20Dynamics%20for%20model%20order%20reduction.pdf |
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