An Improved Differential Evolution Algorithm Based on Adaptive Parameter
The differential evolution (DE) algorithm is a heuristic global optimization technique based on population which is easy to understand, simple to implement, reliable, and fast. The evolutionary parameters directly influence the performance of differential evolution algorithm. The adjustment of contr...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2013/462706 |
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| _version_ | 1832565602729852928 |
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| author | Zhehuang Huang Yidong Chen |
| author_facet | Zhehuang Huang Yidong Chen |
| author_sort | Zhehuang Huang |
| collection | DOAJ |
| description | The differential evolution (DE) algorithm is a heuristic global optimization technique based on population which is easy to understand, simple to implement, reliable, and fast. The evolutionary parameters directly influence the performance of differential evolution algorithm. The adjustment of control parameters is a global behavior and has no general research theory to control the parameters in the evolution process at present. In this paper, we propose an adaptive parameter adjustment method which can dynamically adjust control parameters according to the evolution stage. The experiments on high dimensional function optimization showed that the improved algorithm has more powerful global exploration ability and faster convergence speed. |
| format | Article |
| id | doaj-art-b0deb2b40ee544f49573c51ec0a7295c |
| institution | Kabale University |
| issn | 1687-5249 1687-5257 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-b0deb2b40ee544f49573c51ec0a7295c2025-02-03T01:07:15ZengWileyJournal of Control Science and Engineering1687-52491687-52572013-01-01201310.1155/2013/462706462706An Improved Differential Evolution Algorithm Based on Adaptive ParameterZhehuang Huang0Yidong Chen1School of Mathematical Sciences, Huaqiao University, Quanzhou 362021, ChinaCognitive Science Department, Xiamen University, Xiamen 361005, ChinaThe differential evolution (DE) algorithm is a heuristic global optimization technique based on population which is easy to understand, simple to implement, reliable, and fast. The evolutionary parameters directly influence the performance of differential evolution algorithm. The adjustment of control parameters is a global behavior and has no general research theory to control the parameters in the evolution process at present. In this paper, we propose an adaptive parameter adjustment method which can dynamically adjust control parameters according to the evolution stage. The experiments on high dimensional function optimization showed that the improved algorithm has more powerful global exploration ability and faster convergence speed.http://dx.doi.org/10.1155/2013/462706 |
| spellingShingle | Zhehuang Huang Yidong Chen An Improved Differential Evolution Algorithm Based on Adaptive Parameter Journal of Control Science and Engineering |
| title | An Improved Differential Evolution Algorithm Based on Adaptive Parameter |
| title_full | An Improved Differential Evolution Algorithm Based on Adaptive Parameter |
| title_fullStr | An Improved Differential Evolution Algorithm Based on Adaptive Parameter |
| title_full_unstemmed | An Improved Differential Evolution Algorithm Based on Adaptive Parameter |
| title_short | An Improved Differential Evolution Algorithm Based on Adaptive Parameter |
| title_sort | improved differential evolution algorithm based on adaptive parameter |
| url | http://dx.doi.org/10.1155/2013/462706 |
| work_keys_str_mv | AT zhehuanghuang animproveddifferentialevolutionalgorithmbasedonadaptiveparameter AT yidongchen animproveddifferentialevolutionalgorithmbasedonadaptiveparameter AT zhehuanghuang improveddifferentialevolutionalgorithmbasedonadaptiveparameter AT yidongchen improveddifferentialevolutionalgorithmbasedonadaptiveparameter |