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...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
|
| Subjects: | |
| 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 |
| _version_ | 1796995970167209984 |
|---|---|
| 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 |
| collection | UMP |
| 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). |
| first_indexed | 2024-03-06T13:10:11Z |
| format | Conference or Workshop Item |
| id | UMPir38995 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T13:10:11Z |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | UMPir389952023-11-14T03:01:12Z 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 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| 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 |
| work_keys_str_mv | AT mohdhelmisuid optimalmodelorderreductionbasedonhybridizationofadaptivesafeexperimentationdynamicsnonlinearsinecosinealgorithm AT mohdashrafahmad optimalmodelorderreductionbasedonhybridizationofadaptivesafeexperimentationdynamicsnonlinearsinecosinealgorithm AT salmiahahmad optimalmodelorderreductionbasedonhybridizationofadaptivesafeexperimentationdynamicsnonlinearsinecosinealgorithm AT mohdriduwanghazali optimalmodelorderreductionbasedonhybridizationofadaptivesafeexperimentationdynamicsnonlinearsinecosinealgorithm AT mohdzaiditumari optimalmodelorderreductionbasedonhybridizationofadaptivesafeexperimentationdynamicsnonlinearsinecosinealgorithm |