Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA
This paper presents a performance evaluation of hybrid Simulated Kalman Filter Gravitational Algorithm (SKF-GSA), and hybrid Simulated Kalman Filter Particle Swarm Optimization (SKF-PSO), for continuous numerical optimization problems. Simulated Kalman filter (SKF) was inspired by the estimation c...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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Universiti Malaysia Pahang
2016
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/15724/1/P116%20pg865-874.pdf |
| _version_ | 1796991784949121024 |
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| author | Badaruddin, Muhammad Zuwairie, Ibrahim Kamil Zakwan, Mohd Azmi Khairul Hamimah, Abas Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Mohd Saberi, Mohamad |
| author_facet | Badaruddin, Muhammad Zuwairie, Ibrahim Kamil Zakwan, Mohd Azmi Khairul Hamimah, Abas Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Mohd Saberi, Mohamad |
| author_sort | Badaruddin, Muhammad |
| collection | UMP |
| description | This paper presents a performance evaluation of hybrid Simulated Kalman Filter Gravitational Algorithm (SKF-GSA),
and hybrid Simulated Kalman Filter Particle Swarm Optimization (SKF-PSO), for continuous numerical optimization problems.
Simulated Kalman filter (SKF) was inspired by the estimation capability of Kalman filter. Every agent in SKF is regarded as a Kalman filter. The performance of the hybrid algorithms (SKF-GSA and SKF-PSO) is compared using CEC2014 benchmark dataset for continuous numerical optimization problems. Based on the analysis of experimental results, we found that the SKF-PSO performs the best among all. |
| first_indexed | 2024-03-06T12:10:33Z |
| format | Conference or Workshop Item |
| id | UMPir15724 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:10:33Z |
| publishDate | 2016 |
| publisher | Universiti Malaysia Pahang |
| record_format | dspace |
| spelling | UMPir157242017-08-22T07:09:43Z http://umpir.ump.edu.my/id/eprint/15724/ Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA Badaruddin, Muhammad Zuwairie, Ibrahim Kamil Zakwan, Mohd Azmi Khairul Hamimah, Abas Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Mohd Saberi, Mohamad TK Electrical engineering. Electronics Nuclear engineering This paper presents a performance evaluation of hybrid Simulated Kalman Filter Gravitational Algorithm (SKF-GSA), and hybrid Simulated Kalman Filter Particle Swarm Optimization (SKF-PSO), for continuous numerical optimization problems. Simulated Kalman filter (SKF) was inspired by the estimation capability of Kalman filter. Every agent in SKF is regarded as a Kalman filter. The performance of the hybrid algorithms (SKF-GSA and SKF-PSO) is compared using CEC2014 benchmark dataset for continuous numerical optimization problems. Based on the analysis of experimental results, we found that the SKF-PSO performs the best among all. Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15724/1/P116%20pg865-874.pdf Badaruddin, Muhammad and Zuwairie, Ibrahim and Kamil Zakwan, Mohd Azmi and Khairul Hamimah, Abas and Nor Azlina, Ab. Aziz and Nor Hidayati, Abd Aziz and Mohd Saberi, Mohamad (2016) Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA. In: National Conference For Postgraduate Research (NCON-PGR 2016) , 24-25 September 2016 , Universiti Malaysia Pahang, Pekan. pp. 865-874.. http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Badaruddin, Muhammad Zuwairie, Ibrahim Kamil Zakwan, Mohd Azmi Khairul Hamimah, Abas Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Mohd Saberi, Mohamad Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA |
| title | Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA |
| title_full | Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA |
| title_fullStr | Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA |
| title_full_unstemmed | Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA |
| title_short | Performance Evaluation of Hybrid SKF Algorithms: Hybrid SKF-PSO and Hybrid SKF-GSA |
| title_sort | performance evaluation of hybrid skf algorithms hybrid skf pso and hybrid skf gsa |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/15724/1/P116%20pg865-874.pdf |
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