An exact penalty function-based differential search algorithm for constrained global optimization
Differential search (DS) is a recently developed derivative-free global heuristic optimization algorithm for solving unconstrained optimization problems. In this paper, by applying the idea of exact penalty function approach, a DS algorithm, where an S-type dynamical penalty factor is introduced so...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Springer Verlag
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/41557 |
| _version_ | 1848756178408964096 |
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| author | Liu, J. Teo, Kok Lay Wang, Xiangyu Wu, Changzhi |
| author_facet | Liu, J. Teo, Kok Lay Wang, Xiangyu Wu, Changzhi |
| author_sort | Liu, J. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Differential search (DS) is a recently developed derivative-free global heuristic optimization algorithm for solving unconstrained optimization problems. In this paper, by applying the idea of exact penalty function approach, a DS algorithm, where an S-type dynamical penalty factor is introduced so as to achieve a better balance between exploration and exploitation, is developed for constrained global optimization problems. To illustrate the applicability and effectiveness of the proposed approach, a comparison study is carried out by applying the proposed algorithm and other widely used evolutionary methods on 24 benchmark problems. The results obtained clearly indicate that the proposed method is more effective and efficient over the other widely used evolutionary methods for most these benchmark problems. |
| first_indexed | 2025-11-14T09:08:04Z |
| format | Journal Article |
| id | curtin-20.500.11937-41557 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:08:04Z |
| publishDate | 2015 |
| publisher | Springer Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-415572017-09-13T14:15:44Z An exact penalty function-based differential search algorithm for constrained global optimization Liu, J. Teo, Kok Lay Wang, Xiangyu Wu, Changzhi Differential search (DS) is a recently developed derivative-free global heuristic optimization algorithm for solving unconstrained optimization problems. In this paper, by applying the idea of exact penalty function approach, a DS algorithm, where an S-type dynamical penalty factor is introduced so as to achieve a better balance between exploration and exploitation, is developed for constrained global optimization problems. To illustrate the applicability and effectiveness of the proposed approach, a comparison study is carried out by applying the proposed algorithm and other widely used evolutionary methods on 24 benchmark problems. The results obtained clearly indicate that the proposed method is more effective and efficient over the other widely used evolutionary methods for most these benchmark problems. 2015 Journal Article http://hdl.handle.net/20.500.11937/41557 10.1007/s00500-015-1588-6 Springer Verlag restricted |
| spellingShingle | Liu, J. Teo, Kok Lay Wang, Xiangyu Wu, Changzhi An exact penalty function-based differential search algorithm for constrained global optimization |
| title | An exact penalty function-based differential search algorithm for constrained global optimization |
| title_full | An exact penalty function-based differential search algorithm for constrained global optimization |
| title_fullStr | An exact penalty function-based differential search algorithm for constrained global optimization |
| title_full_unstemmed | An exact penalty function-based differential search algorithm for constrained global optimization |
| title_short | An exact penalty function-based differential search algorithm for constrained global optimization |
| title_sort | exact penalty function-based differential search algorithm for constrained global optimization |
| url | http://hdl.handle.net/20.500.11937/41557 |