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...
محفوظ في:
المؤلفون الرئيسيون: | Mohd Helmi, Suid, Mohd Ashraf, Ahmad |
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التنسيق: | مقال |
اللغة: | English |
منشور في: |
Taylor & Francis
2023
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الموضوعات: | |
الوصول للمادة أونلاين: | 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 |
الوسوم: |
إضافة وسم
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مواد مشابهة
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A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction
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Optimal model order reduction based on Hybridization of Adaptive Safe Experimentation Dynamics-Nonlinear Sine Cosine Algorithm
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