A Comparative State-of-the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and Sizing
In order to develop the dynamic effectiveness of the structures such as trusses, the application of optimisation methods plays a significant role in improving the shape and size of elements. However, conjoining two heterogeneous variables, nodal coordinates and cross-sectional elements, makes a chal...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| منشور في: |
2022
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| الوصول للمادة أونلاين: | https://dspace.auk.edu.kw/handle/11675/9602 https://www.hindawi.com/journals/mpe/2022/6078986/ |
| الوسوم: |
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| _version_ | 1870679721605332992 |
|---|---|
| author | El-Abd, Mohammed |
| author_facet | El-Abd, Mohammed |
| author_role | author |
| dc.contributor.none.fl_str_mv | Mehdi Neshat; Bahareh Etaati; Amin Abdollahi Dehkordi; Amin Abdollahi Dehkordi; Ali Sadollah |
| dc.creator.none.fl_str_mv | El-Abd, Mohammed |
| dc.date.none.fl_str_mv | 2022-03-26 2023-04-09T10:32:27Z 2023-04-09T10:32:27Z |
| dc.identifier.none.fl_str_mv | Etaati, B., Dehkordi, A. A., Sadollah, A., El-Abd, M., & Neshat, M. (2022). A comparative state-of-the-art constrained metaheuristics framework for truss optimisation on shape and sizing. Mathematical Problems in Engineering, 2022, e6078986. https://doi.org/10.1155/2022/6078986 https://dspace.auk.edu.kw/handle/11675/9602 https://www.hindawi.com/journals/mpe/2022/6078986/ |
| dc.publisher.none.fl_str_mv | Hindawi |
| dc.relation.none.fl_str_mv | College of Engineering & Applied sciences |
| dc.title.none.fl_str_mv | A Comparative State-of-the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and Sizing |
| dc.type.none.fl_str_mv | Peer Reviewed Journal Article info:eu-repo/semantics/publishedVersion |
| description | In order to develop the dynamic effectiveness of the structures such as trusses, the application of optimisation methods plays a significant role in improving the shape and size of elements. However, conjoining two heterogeneous variables, nodal coordinates and cross-sectional elements, makes a challenging optimisation problem that is nonlinear, multimodal, large-scale with dynamic constraints. To handle these challenges, evolutionary and swarm optimisation algorithms can be robust and practical tools and show great potential to solve such complex problems. This paper proposed a comparative truss optimisation framework to solve two large-scale structures, including 314-bar and 260-bar trusses. The proposed framework consists of twelve state-of-the-art bio-inspired algorithms. The experimental results show that the marine predators algorithm (MPA) performed best compared with other algorithms in terms of convergence speed and the quality of the proposed designs of the trusses. |
| id | AUKR_102aa8cd4f20a4576dc646613e4d8a69 |
| identifier_str_mv | Etaati, B., Dehkordi, A. A., Sadollah, A., El-Abd, M., & Neshat, M. (2022). A comparative state-of-the-art constrained metaheuristics framework for truss optimisation on shape and sizing. Mathematical Problems in Engineering, 2022, e6078986. https://doi.org/10.1155/2022/6078986 |
| network_acronym_str | AUKR |
| network_name_str | AU Kuwait Rep |
| oai_identifier_str | oai:dspace.auk.edu.kw:11675/9602 |
| publishDate | 2022 |
| publisher.none.fl_str_mv | Hindawi |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | A Comparative State-of-the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and SizingEl-Abd, Mohammed In order to develop the dynamic effectiveness of the structures such as trusses, the application of optimisation methods plays a significant role in improving the shape and size of elements. However, conjoining two heterogeneous variables, nodal coordinates and cross-sectional elements, makes a challenging optimisation problem that is nonlinear, multimodal, large-scale with dynamic constraints. To handle these challenges, evolutionary and swarm optimisation algorithms can be robust and practical tools and show great potential to solve such complex problems. This paper proposed a comparative truss optimisation framework to solve two large-scale structures, including 314-bar and 260-bar trusses. The proposed framework consists of twelve state-of-the-art bio-inspired algorithms. The experimental results show that the marine predators algorithm (MPA) performed best compared with other algorithms in terms of convergence speed and the quality of the proposed designs of the trusses.HindawiMehdi Neshat; Bahareh Etaati; Amin Abdollahi Dehkordi; Amin Abdollahi Dehkordi; Ali Sadollah2023-04-09T10:32:27Z2023-04-09T10:32:27Z2022-03-26Peer ReviewedJournal Articleinfo:eu-repo/semantics/publishedVersionEtaati, B., Dehkordi, A. A., Sadollah, A., El-Abd, M., & Neshat, M. (2022). A comparative state-of-the-art constrained metaheuristics framework for truss optimisation on shape and sizing. Mathematical Problems in Engineering, 2022, e6078986. https://doi.org/10.1155/2022/6078986https://dspace.auk.edu.kw/handle/11675/9602https://www.hindawi.com/journals/mpe/2022/6078986/College of Engineering & Applied sciencesoai:dspace.auk.edu.kw:11675/96022025-06-23T06:28:41Z |
| spellingShingle | A Comparative State-of-the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and Sizing El-Abd, Mohammed |
| status_str | publishedVersion |
| title | A Comparative State-of-the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and Sizing |
| title_full | A Comparative State-of-the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and Sizing |
| title_fullStr | A Comparative State-of-the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and Sizing |
| title_full_unstemmed | A Comparative State-of-the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and Sizing |
| title_short | A Comparative State-of-the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and Sizing |
| title_sort | A Comparative State-of-the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and Sizing |
| url | https://dspace.auk.edu.kw/handle/11675/9602 https://www.hindawi.com/journals/mpe/2022/6078986/ |