Cellular Harmony Search for Optimization Problems
Structured population in evolutionary algorithms (EAs) is an important research track where an individual only interacts with its neighboring individuals in the breeding step. The main rationale behind this is to provide a high level of diversity to overcome the genetic drift. Cellular automata co...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Hindawi Publishing Corporation
2013
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| Subjects: | |
| Online Access: | http://eprints.usm.my/38421/ http://eprints.usm.my/38421/1/Cellular_Harmony_Search_for_Optimization_Problems.pdf |
| _version_ | 1848878464637075456 |
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| author | Al-Betar, Mohammed Azmi Khader, Ahamad Tajudin Awadallah, Mohammed A. Alawan, Mahmmoud Hafsaldin Belal, Zaqaibeh |
| author_facet | Al-Betar, Mohammed Azmi Khader, Ahamad Tajudin Awadallah, Mohammed A. Alawan, Mahmmoud Hafsaldin Belal, Zaqaibeh |
| author_sort | Al-Betar, Mohammed Azmi |
| building | USM Institutional Repository |
| collection | Online Access |
| description | Structured population in evolutionary algorithms (EAs) is an important research track where an individual only interacts with its
neighboring individuals in the breeding step. The main rationale behind this is to provide a high level of diversity to overcome the
genetic drift. Cellular automata concepts have been embedded to the process of EA in order to provide a decentralized method
in order to preserve the population structure. Harmony search (HS) is a recent EA that considers the whole individuals in the
breeding step. In this paper, the cellular automata concepts are embedded into the HS algorithm to come up with a new version
called cellular harmony search (cHS). In cHS, the population is arranged as a two-dimensional toroidal grid, where each individual
in the grid is a cell and only interacts with its neighbors.Thememory consideration and population update aremodified according
to cellular EA theory. The experimental results using benchmark functions show that embedding the cellular automata concepts
with HS processes directly affects the performance. Finally, a parameter sensitivity analysis of the cHS variation is analyzed and a
comparative evaluation shows the success of cHS. |
| first_indexed | 2025-11-15T17:31:45Z |
| format | Article |
| id | usm-38421 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T17:31:45Z |
| publishDate | 2013 |
| publisher | Hindawi Publishing Corporation |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-384212019-04-18T02:22:11Z http://eprints.usm.my/38421/ Cellular Harmony Search for Optimization Problems Al-Betar, Mohammed Azmi Khader, Ahamad Tajudin Awadallah, Mohammed A. Alawan, Mahmmoud Hafsaldin Belal, Zaqaibeh QA75.5-76.95 Electronic computers. Computer science Structured population in evolutionary algorithms (EAs) is an important research track where an individual only interacts with its neighboring individuals in the breeding step. The main rationale behind this is to provide a high level of diversity to overcome the genetic drift. Cellular automata concepts have been embedded to the process of EA in order to provide a decentralized method in order to preserve the population structure. Harmony search (HS) is a recent EA that considers the whole individuals in the breeding step. In this paper, the cellular automata concepts are embedded into the HS algorithm to come up with a new version called cellular harmony search (cHS). In cHS, the population is arranged as a two-dimensional toroidal grid, where each individual in the grid is a cell and only interacts with its neighbors.Thememory consideration and population update aremodified according to cellular EA theory. The experimental results using benchmark functions show that embedding the cellular automata concepts with HS processes directly affects the performance. Finally, a parameter sensitivity analysis of the cHS variation is analyzed and a comparative evaluation shows the success of cHS. Hindawi Publishing Corporation 2013 Article PeerReviewed application/pdf en http://eprints.usm.my/38421/1/Cellular_Harmony_Search_for_Optimization_Problems.pdf Al-Betar, Mohammed Azmi and Khader, Ahamad Tajudin and Awadallah, Mohammed A. and Alawan, Mahmmoud Hafsaldin and Belal, Zaqaibeh (2013) Cellular Harmony Search for Optimization Problems. Journal of Applied Mathematics, 2013 (139464). pp. 1-20. ISSN 1110-757X http://dx.doi.org/10.1155/2013/139464 |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Al-Betar, Mohammed Azmi Khader, Ahamad Tajudin Awadallah, Mohammed A. Alawan, Mahmmoud Hafsaldin Belal, Zaqaibeh Cellular Harmony Search for Optimization Problems |
| title | Cellular Harmony Search for Optimization Problems |
| title_full | Cellular Harmony Search for Optimization Problems |
| title_fullStr | Cellular Harmony Search for Optimization Problems |
| title_full_unstemmed | Cellular Harmony Search for Optimization Problems |
| title_short | Cellular Harmony Search for Optimization Problems |
| title_sort | cellular harmony search for optimization problems |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://eprints.usm.my/38421/ http://eprints.usm.my/38421/ http://eprints.usm.my/38421/1/Cellular_Harmony_Search_for_Optimization_Problems.pdf |