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...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: El-Abd, Mohammed (author)
منشور في: 2022
الوصول للمادة أونلاين:https://dspace.auk.edu.kw/handle/11675/9602
https://www.hindawi.com/journals/mpe/2022/6078986/
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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.
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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/