Application of Improved Multi-objective Differential Evolution Algorithm in the Optimal Operation of Reservoirs
The multi-objective optimal operation of reservoirs is a complex system optimization,and it belongs to the scope of high-dimension,multi-constraint,and nonlinear optimization.The intelligent optimization algorithm has the shortcomings of less non-inferior solutions,uneven distribution and non-conver...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Pearl River
2021-01-01
|
| Series: | Renmin Zhujiang |
| Subjects: | |
| Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2021.06.002 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841535687391707136 |
|---|---|
| author | SUN Qiurong LI Yong TANG Qian WU Shaofei |
| author_facet | SUN Qiurong LI Yong TANG Qian WU Shaofei |
| author_sort | SUN Qiurong |
| collection | DOAJ |
| description | The multi-objective optimal operation of reservoirs is a complex system optimization,and it belongs to the scope of high-dimension,multi-constraint,and nonlinear optimization.The intelligent optimization algorithm has the shortcomings of less non-inferior solutions,uneven distribution and non-convergence when solving the multi-objective optimal operation of reservoirs.Based on the above problems,this paper proposes a new idea to improve the multi-objective differential evolution algorithm by adding the elite retention mechanism and maintaining the external elite set with the crowding distance,establishes the multi-objective optimal operation model for reservoirs,and applies it for realizing the multi-objective optimal operation of Zhanghe Reservoir.The results show that the algorithm can obtain non-inferior solution set with uniform distribution,which proves that it is effective in multi-objective optimal operation of reservoirs. |
| format | Article |
| id | doaj-art-37b8952f67684745995305e80e4ae048 |
| institution | Kabale University |
| issn | 1001-9235 |
| language | zho |
| publishDate | 2021-01-01 |
| publisher | Editorial Office of Pearl River |
| record_format | Article |
| series | Renmin Zhujiang |
| spelling | doaj-art-37b8952f67684745995305e80e4ae0482025-01-15T02:28:56ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352021-01-014247647495Application of Improved Multi-objective Differential Evolution Algorithm in the Optimal Operation of ReservoirsSUN QiurongLI YongTANG QianWU ShaofeiThe multi-objective optimal operation of reservoirs is a complex system optimization,and it belongs to the scope of high-dimension,multi-constraint,and nonlinear optimization.The intelligent optimization algorithm has the shortcomings of less non-inferior solutions,uneven distribution and non-convergence when solving the multi-objective optimal operation of reservoirs.Based on the above problems,this paper proposes a new idea to improve the multi-objective differential evolution algorithm by adding the elite retention mechanism and maintaining the external elite set with the crowding distance,establishes the multi-objective optimal operation model for reservoirs,and applies it for realizing the multi-objective optimal operation of Zhanghe Reservoir.The results show that the algorithm can obtain non-inferior solution set with uniform distribution,which proves that it is effective in multi-objective optimal operation of reservoirs.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2021.06.002multi-objective differential evolution algorithmexternal elite setcrowding distanceoptimal operation of reservoirsZhanghe Reservoir |
| spellingShingle | SUN Qiurong LI Yong TANG Qian WU Shaofei Application of Improved Multi-objective Differential Evolution Algorithm in the Optimal Operation of Reservoirs Renmin Zhujiang multi-objective differential evolution algorithm external elite set crowding distance optimal operation of reservoirs Zhanghe Reservoir |
| title | Application of Improved Multi-objective Differential Evolution Algorithm in the Optimal Operation of Reservoirs |
| title_full | Application of Improved Multi-objective Differential Evolution Algorithm in the Optimal Operation of Reservoirs |
| title_fullStr | Application of Improved Multi-objective Differential Evolution Algorithm in the Optimal Operation of Reservoirs |
| title_full_unstemmed | Application of Improved Multi-objective Differential Evolution Algorithm in the Optimal Operation of Reservoirs |
| title_short | Application of Improved Multi-objective Differential Evolution Algorithm in the Optimal Operation of Reservoirs |
| title_sort | application of improved multi objective differential evolution algorithm in the optimal operation of reservoirs |
| topic | multi-objective differential evolution algorithm external elite set crowding distance optimal operation of reservoirs Zhanghe Reservoir |
| url | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2021.06.002 |
| work_keys_str_mv | AT sunqiurong applicationofimprovedmultiobjectivedifferentialevolutionalgorithmintheoptimaloperationofreservoirs AT liyong applicationofimprovedmultiobjectivedifferentialevolutionalgorithmintheoptimaloperationofreservoirs AT tangqian applicationofimprovedmultiobjectivedifferentialevolutionalgorithmintheoptimaloperationofreservoirs AT wushaofei applicationofimprovedmultiobjectivedifferentialevolutionalgorithmintheoptimaloperationofreservoirs |