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

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

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DOI/Official URL: https://doi.org/10.1109/ICSSE58758.2023.10227161

Abstract

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).

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Adaptive safe experimentation dynamics; Meta-heuristics optimization; Model order reduction; Nonlinear sine cosine algorithm
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	College of Engineering Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	14 Nov 2023 03:01
Last Modified:	14 Nov 2023 03:01
URI:	http://umpir.ump.edu.my/id/eprint/38995
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