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...
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| 主要な著者: | , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Taylor & Francis
2023
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| 主題: | |
| オンライン･アクセス: | 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 http://umpir.ump.edu.my/id/eprint/38259/ https://doi.org/10.1080/00051144.2022.2098085 https://doi.org/10.1080/00051144.2022.2098085 |
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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.pdfhttp://umpir.ump.edu.my/id/eprint/38259/
https://doi.org/10.1080/00051144.2022.2098085
https://doi.org/10.1080/00051144.2022.2098085