A comparative approach for the optimal design of steel structures using biogeography-based optimization (BBO) algorithm and genetic algorithm (GA)
Structural optimization is one of the key concerns of civil engineering designers, but from a mathematical point of view, this optimization problem is highly complex and complicated due to a large number of non-linear design constraints and the iterative procedure of structural analysis. Introducin...
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| Format: | Article |
| Language: | English |
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Universidade Federal de Viçosa (UFV)
2023-12-01
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| Series: | The Journal of Engineering and Exact Sciences |
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| Online Access: | https://periodicos.ufv.br/jcec/article/view/17792 |
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| author | Laid Amamra Mohamed Bensoula Sadek Bahar |
| author_facet | Laid Amamra Mohamed Bensoula Sadek Bahar |
| author_sort | Laid Amamra |
| collection | DOAJ |
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Structural optimization is one of the key concerns of civil engineering designers, but from a mathematical point of view, this optimization problem is highly complex and complicated due to a large number of non-linear design constraints and the iterative procedure of structural analysis. Introducing optimization algorithms such as biogeography-Based Optimization (BBO) and genetic algorithms (GA) into applications can help the user to optimize the cost of the structure to be adopted more quickly and with fewer errors in the preliminary phase of the design study. The aim of this research is to carry out a comparative approach to structure weight minimization using biogeography-Based Optimization (BBO) algorithm and genetic algorithms (GA), examining the influence of the number of populations and the number of iterations in the final results. In this study, both algorithms gave reliable results, but a comparison of the results obtained by the two methods reveals that the biogeography-Based Optimization algorithm (BBO) can be successfully used for the optimization of steel structures while ensuring verification of the strength, serviceability and stability criteria defined by Eurocode 3 (Union, 2006), as it has certain advantages in detecting the global minimum over genetic algorithms (GA). It is capable of finding solutions that are lighter, stiffer and have lower deflection than the original designs.
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| format | Article |
| id | doaj-art-1dc5405881a742fd9ef4cfed5273cb32 |
| institution | Kabale University |
| issn | 2527-1075 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Universidade Federal de Viçosa (UFV) |
| record_format | Article |
| series | The Journal of Engineering and Exact Sciences |
| spelling | doaj-art-1dc5405881a742fd9ef4cfed5273cb322025-02-02T19:54:24ZengUniversidade Federal de Viçosa (UFV)The Journal of Engineering and Exact Sciences2527-10752023-12-0191210.18540/jcecvl9iss12pp17792A comparative approach for the optimal design of steel structures using biogeography-based optimization (BBO) algorithm and genetic algorithm (GA)Laid Amamra0Mohamed Bensoula1Sadek Bahar 2LMPC Laboratory, Department of Civil Engineering, Faculty of Science and Technology, University of Mostaganem, P.O Box 227, Mostaganem 27000 (Algeria)LCTPE Laboratory, Department of Civil Engineering, Faculty of Science and Technology, University of Mostaganem, P.O Box 227, Mostaganem 27000 (Algeria),LMPC Laboratory, Department of Civil Engineering, Faculty of Science and Technology, University of Mostaganem, P.O Box 227, Mostaganem 27000 (Algeria) Structural optimization is one of the key concerns of civil engineering designers, but from a mathematical point of view, this optimization problem is highly complex and complicated due to a large number of non-linear design constraints and the iterative procedure of structural analysis. Introducing optimization algorithms such as biogeography-Based Optimization (BBO) and genetic algorithms (GA) into applications can help the user to optimize the cost of the structure to be adopted more quickly and with fewer errors in the preliminary phase of the design study. The aim of this research is to carry out a comparative approach to structure weight minimization using biogeography-Based Optimization (BBO) algorithm and genetic algorithms (GA), examining the influence of the number of populations and the number of iterations in the final results. In this study, both algorithms gave reliable results, but a comparison of the results obtained by the two methods reveals that the biogeography-Based Optimization algorithm (BBO) can be successfully used for the optimization of steel structures while ensuring verification of the strength, serviceability and stability criteria defined by Eurocode 3 (Union, 2006), as it has certain advantages in detecting the global minimum over genetic algorithms (GA). It is capable of finding solutions that are lighter, stiffer and have lower deflection than the original designs. https://periodicos.ufv.br/jcec/article/view/17792Steel StructureOptimizationGenetic algorithmExpert systemsBBO algorithmMulticriteria optimization |
| spellingShingle | Laid Amamra Mohamed Bensoula Sadek Bahar A comparative approach for the optimal design of steel structures using biogeography-based optimization (BBO) algorithm and genetic algorithm (GA) The Journal of Engineering and Exact Sciences Steel Structure Optimization Genetic algorithm Expert systems BBO algorithm Multicriteria optimization |
| title | A comparative approach for the optimal design of steel structures using biogeography-based optimization (BBO) algorithm and genetic algorithm (GA) |
| title_full | A comparative approach for the optimal design of steel structures using biogeography-based optimization (BBO) algorithm and genetic algorithm (GA) |
| title_fullStr | A comparative approach for the optimal design of steel structures using biogeography-based optimization (BBO) algorithm and genetic algorithm (GA) |
| title_full_unstemmed | A comparative approach for the optimal design of steel structures using biogeography-based optimization (BBO) algorithm and genetic algorithm (GA) |
| title_short | A comparative approach for the optimal design of steel structures using biogeography-based optimization (BBO) algorithm and genetic algorithm (GA) |
| title_sort | comparative approach for the optimal design of steel structures using biogeography based optimization bbo algorithm and genetic algorithm ga |
| topic | Steel Structure Optimization Genetic algorithm Expert systems BBO algorithm Multicriteria optimization |
| url | https://periodicos.ufv.br/jcec/article/view/17792 |
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