A novel intelligent global harmony search algorithm based on improved search stability strategy
Abstract Harmony search (HS) is a new swarm intelligent algorithm inspired by the process of music improvisation. Over the past decade, HS algorithm has been applied to many practical engineering problems. However, for some complex practical problems, there are some remaining issues such as prematur...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-34736-1 |
| _version_ | 1797827505525096448 |
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| author | Jinglin Wang Haibin Ouyang Chunliang Zhang Steven Li Jianhua Xiang |
| author_facet | Jinglin Wang Haibin Ouyang Chunliang Zhang Steven Li Jianhua Xiang |
| author_sort | Jinglin Wang |
| collection | DOAJ |
| description | Abstract Harmony search (HS) is a new swarm intelligent algorithm inspired by the process of music improvisation. Over the past decade, HS algorithm has been applied to many practical engineering problems. However, for some complex practical problems, there are some remaining issues such as premature convergence, low optimization accuracy and slow convergence speed. To address these issues, this paper proposes a novel intelligent global harmony search algorithm based on improved search stability strategy (NIGHS). In the search process, NIGHS uses the adaptive mean of harmony memory library to build a stable trust region around the global best harmony, and proposes a new coupling operation based on linear proportional relation, so that the algorithm can adaptively adjust the ability of exploration and exploitation in the search process and avoid premature convergence. In addition, the dynamic Gauss fine-tuning is adopted in the stable trust region to accelerate the convergence speed and improve the optimization accuracy. The common CEC2017 test functions are employed to test the proposed algorithm, the results show that NIGHS algorithm has a faster convergence speed and better optimization accuracy compared to the HS algorithm and its improved versions. |
| first_indexed | 2024-04-09T12:49:23Z |
| format | Article |
| id | doaj.art-6271e72e79b34f808652fda2284b4caf |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T12:49:23Z |
| publishDate | 2023-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-6271e72e79b34f808652fda2284b4caf2023-05-14T11:17:35ZengNature PortfolioScientific Reports2045-23222023-05-0113112910.1038/s41598-023-34736-1A novel intelligent global harmony search algorithm based on improved search stability strategyJinglin Wang0Haibin Ouyang1Chunliang Zhang2Steven Li3Jianhua Xiang4School of Mechanical and Electric Engineering, Guangzhou UniversitySchool of Mechanical and Electric Engineering, Guangzhou UniversitySchool of Mechanical and Electric Engineering, Guangzhou UniversityGraduate School of Business and Law, RMIT UniversitySchool of Mechanical and Electric Engineering, Guangzhou UniversityAbstract Harmony search (HS) is a new swarm intelligent algorithm inspired by the process of music improvisation. Over the past decade, HS algorithm has been applied to many practical engineering problems. However, for some complex practical problems, there are some remaining issues such as premature convergence, low optimization accuracy and slow convergence speed. To address these issues, this paper proposes a novel intelligent global harmony search algorithm based on improved search stability strategy (NIGHS). In the search process, NIGHS uses the adaptive mean of harmony memory library to build a stable trust region around the global best harmony, and proposes a new coupling operation based on linear proportional relation, so that the algorithm can adaptively adjust the ability of exploration and exploitation in the search process and avoid premature convergence. In addition, the dynamic Gauss fine-tuning is adopted in the stable trust region to accelerate the convergence speed and improve the optimization accuracy. The common CEC2017 test functions are employed to test the proposed algorithm, the results show that NIGHS algorithm has a faster convergence speed and better optimization accuracy compared to the HS algorithm and its improved versions.https://doi.org/10.1038/s41598-023-34736-1 |
| spellingShingle | Jinglin Wang Haibin Ouyang Chunliang Zhang Steven Li Jianhua Xiang A novel intelligent global harmony search algorithm based on improved search stability strategy Scientific Reports |
| title | A novel intelligent global harmony search algorithm based on improved search stability strategy |
| title_full | A novel intelligent global harmony search algorithm based on improved search stability strategy |
| title_fullStr | A novel intelligent global harmony search algorithm based on improved search stability strategy |
| title_full_unstemmed | A novel intelligent global harmony search algorithm based on improved search stability strategy |
| title_short | A novel intelligent global harmony search algorithm based on improved search stability strategy |
| title_sort | novel intelligent global harmony search algorithm based on improved search stability strategy |
| url | https://doi.org/10.1038/s41598-023-34736-1 |
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