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...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis
2023
|
Subjects: | |
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 http://umpir.ump.edu.my/id/eprint/38259/ https://doi.org/10.1080/00051144.2022.2098085 https://doi.org/10.1080/00051144.2022.2098085 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
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