A Hybrid Artificial Immune Optimization Method
This paper proposes a hybrid optimization method based on the fusion of the Simulated Annealing (SA) and Clonal Selection Algorithm (CSA), in which the SA is embedded in the CSA to enhance its search capability. The novel optimization algorithm is also employed to deal with several nonlinear benchma...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2009-12-01
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| Series: | International Journal of Computational Intelligence Systems |
| Online Access: | https://www.atlantis-press.com/article/1888.pdf |
| _version_ | 1818040133358714880 |
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| author | X. Wang X.Z. Gao S. J. Ovaska |
| author_facet | X. Wang X.Z. Gao S. J. Ovaska |
| author_sort | X. Wang |
| collection | DOAJ |
| description | This paper proposes a hybrid optimization method based on the fusion of the Simulated Annealing (SA) and Clonal Selection Algorithm (CSA), in which the SA is embedded in the CSA to enhance its search capability. The novel optimization algorithm is also employed to deal with several nonlinear benchmark functions as well as a practical engineering design problem. Simulation results demonstrate the remarkable advantages of our approach in achiev- ing the diverse optimal solutions and improved convergence speed. |
| first_indexed | 2024-12-10T08:09:41Z |
| format | Article |
| id | doaj.art-1cd7b9cfe0914185b2b8f5873584644c |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-12-10T08:09:41Z |
| publishDate | 2009-12-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-1cd7b9cfe0914185b2b8f5873584644c2022-12-22T01:56:35ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832009-12-012310.2991/ijcis.2009.2.3.6A Hybrid Artificial Immune Optimization MethodX. WangX.Z. GaoS. J. OvaskaThis paper proposes a hybrid optimization method based on the fusion of the Simulated Annealing (SA) and Clonal Selection Algorithm (CSA), in which the SA is embedded in the CSA to enhance its search capability. The novel optimization algorithm is also employed to deal with several nonlinear benchmark functions as well as a practical engineering design problem. Simulation results demonstrate the remarkable advantages of our approach in achiev- ing the diverse optimal solutions and improved convergence speed.https://www.atlantis-press.com/article/1888.pdf |
| spellingShingle | X. Wang X.Z. Gao S. J. Ovaska A Hybrid Artificial Immune Optimization Method International Journal of Computational Intelligence Systems |
| title | A Hybrid Artificial Immune Optimization Method |
| title_full | A Hybrid Artificial Immune Optimization Method |
| title_fullStr | A Hybrid Artificial Immune Optimization Method |
| title_full_unstemmed | A Hybrid Artificial Immune Optimization Method |
| title_short | A Hybrid Artificial Immune Optimization Method |
| title_sort | hybrid artificial immune optimization method |
| url | https://www.atlantis-press.com/article/1888.pdf |
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