A New Hybrid Gravitational Search- Black Hole Algorithm
This paper studies the solution of optimization problems using a new hybrid population-based algorithm. The Gravitational Search – Black Hole Algorithm (GSBHA) is proposed as a combination of the Black Hole Algorithm (BHA) and Gravitational Search Algorithm (GSA). The main idea is to improve the st...
| 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/15750/1/P113%20pg834-842.pdf |
| _version_ | 1796991792093069312 |
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| author | Suad Khairi, Mohammed Zuwairie, Ibrahim Hamdan, Daniyal Nor Azlina, Ab. Aziz |
| author_facet | Suad Khairi, Mohammed Zuwairie, Ibrahim Hamdan, Daniyal Nor Azlina, Ab. Aziz |
| author_sort | Suad Khairi, Mohammed |
| collection | UMP |
| description | This paper studies the solution of optimization problems using a new hybrid population-based algorithm. The
Gravitational Search – Black Hole Algorithm (GSBHA) is proposed as a combination of the Black Hole Algorithm (BHA) and Gravitational Search Algorithm (GSA). The main idea is to improve the standard BHA by using GSA. To evaluate the performance of GSBHA, standard test functions of CEC 2014 for real-parameters are used to compare the hybrid algorithm with both the standard BHA and GSA algorithms in evolving the best solution. The results obtained demonstrate better performance of the hybrid algorithm and better capability to escape from local optimums with faster convergence than the
standard BHA and GSA. |
| first_indexed | 2024-03-06T12:10:37Z |
| format | Conference or Workshop Item |
| id | UMPir15750 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:10:37Z |
| publishDate | 2016 |
| publisher | Universiti Malaysia Pahang |
| record_format | dspace |
| spelling | UMPir157502017-08-22T07:26:23Z http://umpir.ump.edu.my/id/eprint/15750/ A New Hybrid Gravitational Search- Black Hole Algorithm Suad Khairi, Mohammed Zuwairie, Ibrahim Hamdan, Daniyal Nor Azlina, Ab. Aziz TK Electrical engineering. Electronics Nuclear engineering This paper studies the solution of optimization problems using a new hybrid population-based algorithm. The Gravitational Search – Black Hole Algorithm (GSBHA) is proposed as a combination of the Black Hole Algorithm (BHA) and Gravitational Search Algorithm (GSA). The main idea is to improve the standard BHA by using GSA. To evaluate the performance of GSBHA, standard test functions of CEC 2014 for real-parameters are used to compare the hybrid algorithm with both the standard BHA and GSA algorithms in evolving the best solution. The results obtained demonstrate better performance of the hybrid algorithm and better capability to escape from local optimums with faster convergence than the standard BHA and GSA. Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15750/1/P113%20pg834-842.pdf Suad Khairi, Mohammed and Zuwairie, Ibrahim and Hamdan, Daniyal and Nor Azlina, Ab. Aziz (2016) A New Hybrid Gravitational Search- Black Hole Algorithm. In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016) , 24-25 September 2016 , Universiti Malaysia Pahang. pp. 834-842.. http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Suad Khairi, Mohammed Zuwairie, Ibrahim Hamdan, Daniyal Nor Azlina, Ab. Aziz A New Hybrid Gravitational Search- Black Hole Algorithm |
| title | A New Hybrid Gravitational Search- Black Hole Algorithm |
| title_full | A New Hybrid Gravitational Search- Black Hole Algorithm |
| title_fullStr | A New Hybrid Gravitational Search- Black Hole Algorithm |
| title_full_unstemmed | A New Hybrid Gravitational Search- Black Hole Algorithm |
| title_short | A New Hybrid Gravitational Search- Black Hole Algorithm |
| title_sort | new hybrid gravitational search black hole algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/15750/1/P113%20pg834-842.pdf |
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