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Optimal model order reduction based on hybridization of adaptive safe experimentation dynamics-nonlinear sine cosine algorithm

Convoluted high-order structures as modeled through mathematical principle including telecommunication systems, power plants for urbanized energy supply and aerospace systems are often accompanied by the apparent setbacks in analyzing, experimentation and operational control. The complexity of such...

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Main Authors: Mohd Helmi, Suid, Mohd Ashraf, Ahmad, Salmiah, Ahmad, Mohd Riduwan, Ghazali, Mohd Zaidi, Tumari
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/38995/1/Optimal%20Model%20Order%20Reduction%20Based%20on%20Hybridization%20of%20Adaptive.pdf
http://umpir.ump.edu.my/id/eprint/38995/2/Optimal%20model%20order%20reduction%20based%20on%20hybridization%20of%20adaptive%20safe%20experimentation%20dynamics-nonlinear%20sine%20cosine%20algorithm_ABS.pdf
http://umpir.ump.edu.my/id/eprint/38995/
https://doi.org/10.1109/ICSSE58758.2023.10227161
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spelling my.ump.umpir.389952023-11-14T03:01:12Z http://umpir.ump.edu.my/id/eprint/38995/ Optimal model order reduction based on hybridization of adaptive safe experimentation dynamics-nonlinear sine cosine algorithm Mohd Helmi, Suid Mohd Ashraf, Ahmad Salmiah, Ahmad Mohd Riduwan, Ghazali Mohd Zaidi, Tumari T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Convoluted high-order structures as modeled through mathematical principle including telecommunication systems, power plants for urbanized energy supply and aerospace systems are often accompanied by the apparent setbacks in analyzing, experimentation and operational control. The complexity of such structures is proposedly decreased within the current study through introduction of a hybridized meta-heuristics fine-tuning approach between Adaptive Safe Experimentation Dynamics (ASED) and Nonlinear Sine Cosine Algorithm (NSCA). Entrapment within the local optima is hereby overcome through ASED by adaptive random perturbation, with improved exploration and exploitation of the introduced approach being further enabled by NSCA. The method's potency was evaluated through an empirically adopted 6th order numerical function. Experimentation outcomes uncovered profound robustness and consistency from ASED-NSCA against alternative modern optimization-based techniques towards comparatively outstanding model order reduction (MOR). Institute of Electrical and Electronics Engineers Inc. 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38995/1/Optimal%20Model%20Order%20Reduction%20Based%20on%20Hybridization%20of%20Adaptive.pdf pdf en http://umpir.ump.edu.my/id/eprint/38995/2/Optimal%20model%20order%20reduction%20based%20on%20hybridization%20of%20adaptive%20safe%20experimentation%20dynamics-nonlinear%20sine%20cosine%20algorithm_ABS.pdf Mohd Helmi, Suid and Mohd Ashraf, Ahmad and Salmiah, Ahmad and Mohd Riduwan, Ghazali and Mohd Zaidi, Tumari (2023) Optimal model order reduction based on hybridization of adaptive safe experimentation dynamics-nonlinear sine cosine algorithm. In: Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023, 27-28 August 2023 , Virtual, Ho Chi Minh City. pp. 565-569. (192135). ISBN 979-835032294-1 https://doi.org/10.1109/ICSSE58758.2023.10227161
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Mohd Helmi, Suid
Mohd Ashraf, Ahmad
Salmiah, Ahmad
Mohd Riduwan, Ghazali
Mohd Zaidi, Tumari
Optimal model order reduction based on hybridization of adaptive safe experimentation dynamics-nonlinear sine cosine algorithm
description Convoluted high-order structures as modeled through mathematical principle including telecommunication systems, power plants for urbanized energy supply and aerospace systems are often accompanied by the apparent setbacks in analyzing, experimentation and operational control. The complexity of such structures is proposedly decreased within the current study through introduction of a hybridized meta-heuristics fine-tuning approach between Adaptive Safe Experimentation Dynamics (ASED) and Nonlinear Sine Cosine Algorithm (NSCA). Entrapment within the local optima is hereby overcome through ASED by adaptive random perturbation, with improved exploration and exploitation of the introduced approach being further enabled by NSCA. The method's potency was evaluated through an empirically adopted 6th order numerical function. Experimentation outcomes uncovered profound robustness and consistency from ASED-NSCA against alternative modern optimization-based techniques towards comparatively outstanding model order reduction (MOR).
format Conference or Workshop Item
author Mohd Helmi, Suid
Mohd Ashraf, Ahmad
Salmiah, Ahmad
Mohd Riduwan, Ghazali
Mohd Zaidi, Tumari
author_facet Mohd Helmi, Suid
Mohd Ashraf, Ahmad
Salmiah, Ahmad
Mohd Riduwan, Ghazali
Mohd Zaidi, Tumari
author_sort Mohd Helmi, Suid
title Optimal model order reduction based on hybridization of adaptive safe experimentation dynamics-nonlinear sine cosine algorithm
title_short Optimal model order reduction based on hybridization of adaptive safe experimentation dynamics-nonlinear sine cosine algorithm
title_full Optimal model order reduction based on hybridization of adaptive safe experimentation dynamics-nonlinear sine cosine algorithm
title_fullStr Optimal model order reduction based on hybridization of adaptive safe experimentation dynamics-nonlinear sine cosine algorithm
title_full_unstemmed Optimal model order reduction based on hybridization of adaptive safe experimentation dynamics-nonlinear sine cosine algorithm
title_sort optimal model order reduction based on hybridization of adaptive safe experimentation dynamics-nonlinear sine cosine algorithm
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/38995/1/Optimal%20Model%20Order%20Reduction%20Based%20on%20Hybridization%20of%20Adaptive.pdf
http://umpir.ump.edu.my/id/eprint/38995/2/Optimal%20model%20order%20reduction%20based%20on%20hybridization%20of%20adaptive%20safe%20experimentation%20dynamics-nonlinear%20sine%20cosine%20algorithm_ABS.pdf
http://umpir.ump.edu.my/id/eprint/38995/
https://doi.org/10.1109/ICSSE58758.2023.10227161
_version_ 1822923806828658688
score 13.232389

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