Improved Whale Optimization Algorithm for Solving Constrained Optimization Problems
In view of the shortcomings of the whale optimization algorithm (WOA), such as slow convergence speed, low accuracy, and easy to fall into local optimum, an improved whale optimization algorithm (IWOA) is proposed. First, the standard WOA is improved from the three aspects of initial population, con...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2021/8832251 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832550918188433408 |
|---|---|
| author | Gui-Ying Ning Dun-Qian Cao |
| author_facet | Gui-Ying Ning Dun-Qian Cao |
| author_sort | Gui-Ying Ning |
| collection | DOAJ |
| description | In view of the shortcomings of the whale optimization algorithm (WOA), such as slow convergence speed, low accuracy, and easy to fall into local optimum, an improved whale optimization algorithm (IWOA) is proposed. First, the standard WOA is improved from the three aspects of initial population, convergence factor, and mutation operation. At the same time, Gaussian mutation is introduced. Then the nonfixed penalty function method is used to transform the constrained problem into an unconstrained problem. Finally, 13 benchmark problems were used to test the feasibility and effectiveness of the proposed method. Numerical results show that the proposed IWOA has obvious advantages such as stronger global search ability, better stability, faster convergence speed, and higher convergence accuracy; it can be used to effectively solve complex constrained optimization problems. |
| format | Article |
| id | doaj-art-8aa167a33ff04dbabe7ab5986d7b75b1 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-8aa167a33ff04dbabe7ab5986d7b75b12025-02-03T06:05:26ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2021-01-01202110.1155/2021/88322518832251Improved Whale Optimization Algorithm for Solving Constrained Optimization ProblemsGui-Ying Ning0Dun-Qian Cao1Liuzhou Institute of Technology, Liuzhou, Guangxi 545616, ChinaCollege of Science, Guangxi University for Nationalities, Nanning 530006, ChinaIn view of the shortcomings of the whale optimization algorithm (WOA), such as slow convergence speed, low accuracy, and easy to fall into local optimum, an improved whale optimization algorithm (IWOA) is proposed. First, the standard WOA is improved from the three aspects of initial population, convergence factor, and mutation operation. At the same time, Gaussian mutation is introduced. Then the nonfixed penalty function method is used to transform the constrained problem into an unconstrained problem. Finally, 13 benchmark problems were used to test the feasibility and effectiveness of the proposed method. Numerical results show that the proposed IWOA has obvious advantages such as stronger global search ability, better stability, faster convergence speed, and higher convergence accuracy; it can be used to effectively solve complex constrained optimization problems.http://dx.doi.org/10.1155/2021/8832251 |
| spellingShingle | Gui-Ying Ning Dun-Qian Cao Improved Whale Optimization Algorithm for Solving Constrained Optimization Problems Discrete Dynamics in Nature and Society |
| title | Improved Whale Optimization Algorithm for Solving Constrained Optimization Problems |
| title_full | Improved Whale Optimization Algorithm for Solving Constrained Optimization Problems |
| title_fullStr | Improved Whale Optimization Algorithm for Solving Constrained Optimization Problems |
| title_full_unstemmed | Improved Whale Optimization Algorithm for Solving Constrained Optimization Problems |
| title_short | Improved Whale Optimization Algorithm for Solving Constrained Optimization Problems |
| title_sort | improved whale optimization algorithm for solving constrained optimization problems |
| url | http://dx.doi.org/10.1155/2021/8832251 |
| work_keys_str_mv | AT guiyingning improvedwhaleoptimizationalgorithmforsolvingconstrainedoptimizationproblems AT dunqiancao improvedwhaleoptimizationalgorithmforsolvingconstrainedoptimizationproblems |