Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohd Helmi, Suid, Mohd Ashraf, Ahmad
Format: Article
Language:English
Published: Taylor & Francis 2023
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
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!
id my.ump.umpir.38259
record_format eprints
spelling my.ump.umpir.382592023-08-09T08:16:14Z 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
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
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
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.
format Article
author Mohd Helmi, Suid
Mohd Ashraf, Ahmad
author_facet Mohd Helmi, Suid
Mohd Ashraf, Ahmad
author_sort Mohd Helmi, Suid
title 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_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_sort novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction
publisher Taylor & Francis
publishDate 2023
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
http://umpir.ump.edu.my/id/eprint/38259/
https://doi.org/10.1080/00051144.2022.2098085
https://doi.org/10.1080/00051144.2022.2098085
_version_ 1775622247889764352
score 13.211869

Similar Items