A Novel Self-Adaptive Harmony Search Algorithm
The harmony search algorithm is a music-inspired optimization technology and has been successfully applied to diverse scientific and engineering problems. However, like other metaheuristic algorithms, it still faces two difficulties: parameter setting and finding the optimal balance between diversit...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/653749 |
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| _version_ | 1832568196129882112 |
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| author | Kaiping Luo |
| author_facet | Kaiping Luo |
| author_sort | Kaiping Luo |
| collection | DOAJ |
| description | The harmony search algorithm is a music-inspired optimization technology and has been successfully applied to diverse scientific and engineering problems. However, like other metaheuristic algorithms, it still faces two difficulties: parameter setting and finding the optimal balance between diversity and intensity in searching. This paper proposes a novel, self-adaptive search mechanism for optimization problems with continuous variables. This new variant can automatically configure the evolutionary parameters in accordance with problem characteristics, such as the scale and the boundaries, and dynamically select evolutionary strategies in accordance with its search performance. The new variant simplifies the parameter setting and efficiently solves all types of optimization problems with continuous variables. Statistical test results show that this variant is considerably robust and outperforms the original harmony search (HS), improved harmony search (IHS), and other self-adaptive variants for large-scale optimization problems and constrained problems. |
| format | Article |
| id | doaj-art-0c990c9c961d45629fc6448aa5370011 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-0c990c9c961d45629fc6448aa53700112025-02-03T00:59:34ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/653749653749A Novel Self-Adaptive Harmony Search AlgorithmKaiping Luo0School of Economics & Management, Beihang University, Beijing 100191, ChinaThe harmony search algorithm is a music-inspired optimization technology and has been successfully applied to diverse scientific and engineering problems. However, like other metaheuristic algorithms, it still faces two difficulties: parameter setting and finding the optimal balance between diversity and intensity in searching. This paper proposes a novel, self-adaptive search mechanism for optimization problems with continuous variables. This new variant can automatically configure the evolutionary parameters in accordance with problem characteristics, such as the scale and the boundaries, and dynamically select evolutionary strategies in accordance with its search performance. The new variant simplifies the parameter setting and efficiently solves all types of optimization problems with continuous variables. Statistical test results show that this variant is considerably robust and outperforms the original harmony search (HS), improved harmony search (IHS), and other self-adaptive variants for large-scale optimization problems and constrained problems.http://dx.doi.org/10.1155/2013/653749 |
| spellingShingle | Kaiping Luo A Novel Self-Adaptive Harmony Search Algorithm Journal of Applied Mathematics |
| title | A Novel Self-Adaptive Harmony Search Algorithm |
| title_full | A Novel Self-Adaptive Harmony Search Algorithm |
| title_fullStr | A Novel Self-Adaptive Harmony Search Algorithm |
| title_full_unstemmed | A Novel Self-Adaptive Harmony Search Algorithm |
| title_short | A Novel Self-Adaptive Harmony Search Algorithm |
| title_sort | novel self adaptive harmony search algorithm |
| url | http://dx.doi.org/10.1155/2013/653749 |
| work_keys_str_mv | AT kaipingluo anovelselfadaptiveharmonysearchalgorithm AT kaipingluo novelselfadaptiveharmonysearchalgorithm |