Three Approaches to Solve Combinatorial Optimization Problems using Simulated Kalman Filter
Inspired by the estimation capability of Kalman filter, we have recently introduced novel estimation-based optimization algorithm called simulated Kalman filter (SKF). Every agent in SKF is regarded as a Kalman filter. Based on the mechanism of Kalman filtering and measurement process, every agent e...
| Main Authors: | , , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Universiti Malaysia Pahang
2016
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/15521/ http://umpir.ump.edu.my/id/eprint/15521/1/P127%20pg951-960.pdf |
| _version_ | 1848819974799360000 |
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| author | Zulkifli, Md. Yusof Ismail, Ibrahim Zuwairie, Ibrahim Khairul Hamimah, Abas Shahdan, Sudin Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Mohd Saberi, Mohamad |
| author_facet | Zulkifli, Md. Yusof Ismail, Ibrahim Zuwairie, Ibrahim Khairul Hamimah, Abas Shahdan, Sudin Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Mohd Saberi, Mohamad |
| author_sort | Zulkifli, Md. Yusof |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Inspired by the estimation capability of Kalman filter, we have recently introduced novel estimation-based optimization algorithm called simulated Kalman filter (SKF). Every agent in SKF is regarded as a Kalman filter. Based on the mechanism of Kalman filtering and measurement process, every agent estimates the global minimum/maximum. Measurement, which is required in Kalman filtering, is mathematically modelled and simulated. Agents communicate among them to update and improve the solution during the search process. However, the SKF is only capable to solve continuous numerical optimization problem. In order to solve combinatorial optimization problems, three extended versions of SKF algorithm, which is termed as Angle Modulated SKF (AMSKF), Distance Evaluated SKF (DESKF), and Binary SKF (BSKF), are proposed. A set of traveling salesman problems is used to evaluate the performance of the proposed algorithms. |
| first_indexed | 2025-11-15T02:02:05Z |
| format | Conference or Workshop Item |
| id | ump-15521 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:02:05Z |
| publishDate | 2016 |
| publisher | Universiti Malaysia Pahang |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-155212018-02-08T03:07:36Z http://umpir.ump.edu.my/id/eprint/15521/ Three Approaches to Solve Combinatorial Optimization Problems using Simulated Kalman Filter Zulkifli, Md. Yusof Ismail, Ibrahim Zuwairie, Ibrahim Khairul Hamimah, Abas Shahdan, Sudin Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Mohd Saberi, Mohamad TK Electrical engineering. Electronics Nuclear engineering Inspired by the estimation capability of Kalman filter, we have recently introduced novel estimation-based optimization algorithm called simulated Kalman filter (SKF). Every agent in SKF is regarded as a Kalman filter. Based on the mechanism of Kalman filtering and measurement process, every agent estimates the global minimum/maximum. Measurement, which is required in Kalman filtering, is mathematically modelled and simulated. Agents communicate among them to update and improve the solution during the search process. However, the SKF is only capable to solve continuous numerical optimization problem. In order to solve combinatorial optimization problems, three extended versions of SKF algorithm, which is termed as Angle Modulated SKF (AMSKF), Distance Evaluated SKF (DESKF), and Binary SKF (BSKF), are proposed. A set of traveling salesman problems is used to evaluate the performance of the proposed algorithms. Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15521/1/P127%20pg951-960.pdf Zulkifli, Md. Yusof and Ismail, Ibrahim and Zuwairie, Ibrahim and Khairul Hamimah, Abas and Shahdan, Sudin and Nor Azlina, Ab. Aziz and Nor Hidayati, Abd Aziz and Mohd Saberi, Mohamad (2016) Three Approaches to Solve Combinatorial Optimization Problems using Simulated Kalman Filter. In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016) , 24-25 September 2016 , Universiti Malaysia Pahang (UMP), Pekan, Pahang. pp. 951-960.. (Published) http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Zulkifli, Md. Yusof Ismail, Ibrahim Zuwairie, Ibrahim Khairul Hamimah, Abas Shahdan, Sudin Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Mohd Saberi, Mohamad Three Approaches to Solve Combinatorial Optimization Problems using Simulated Kalman Filter |
| title | Three Approaches to Solve Combinatorial Optimization Problems using Simulated Kalman Filter |
| title_full | Three Approaches to Solve Combinatorial Optimization Problems using Simulated Kalman Filter |
| title_fullStr | Three Approaches to Solve Combinatorial Optimization Problems using Simulated Kalman Filter |
| title_full_unstemmed | Three Approaches to Solve Combinatorial Optimization Problems using Simulated Kalman Filter |
| title_short | Three Approaches to Solve Combinatorial Optimization Problems using Simulated Kalman Filter |
| title_sort | three approaches to solve combinatorial optimization problems using simulated kalman filter |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/15521/ http://umpir.ump.edu.my/id/eprint/15521/ http://umpir.ump.edu.my/id/eprint/15521/1/P127%20pg951-960.pdf |