Sizing and Topology Optimization of Trusses Using Genetic Algorithm
Genetic algorithms are a robust method for a solution of wide variety optimization problems. It explores a big space of design variables in order to find the best solution. From the point of view of a user, the algorithm requires the encoding of design variables into the form of strings and the proc...
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| Format: | Article |
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MDPI AG
2021-02-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/14/4/715 |
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| author | Ingrid Delyová Peter Frankovský Jozef Bocko Peter Trebuňa Jozef Živčák Barbara Schürger Sára Janigová |
| author_facet | Ingrid Delyová Peter Frankovský Jozef Bocko Peter Trebuňa Jozef Živčák Barbara Schürger Sára Janigová |
| author_sort | Ingrid Delyová |
| collection | DOAJ |
| description | Genetic algorithms are a robust method for a solution of wide variety optimization problems. It explores a big space of design variables in order to find the best solution. From the point of view of a user, the algorithm requires the encoding of design variables into the form of strings and the procedure of optimization uses them for optimization. Here, for the structural engineer, it is crucial to find the form of objective function including the constraints of the task and also to avoid critical states during the solution of structural responses. This paper presents the use of genetic algorithm for solving truss structures. The use of genetic algorithm approach is shown on three cases of truss structures. |
| first_indexed | 2024-03-09T05:52:18Z |
| format | Article |
| id | doaj.art-81ee50607d884bfd971665c29a533ffb |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-09T05:52:18Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-81ee50607d884bfd971665c29a533ffb2023-12-03T12:16:26ZengMDPI AGMaterials1996-19442021-02-0114471510.3390/ma14040715Sizing and Topology Optimization of Trusses Using Genetic AlgorithmIngrid Delyová0Peter Frankovský1Jozef Bocko2Peter Trebuňa3Jozef Živčák4Barbara Schürger5Sára Janigová6Department of Applied Mechanics and Mechanical Engineering, Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Košice, SlovakiaDepartment of Applied Mechanics and Mechanical Engineering, Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Košice, SlovakiaDepartment of Applied Mechanics and Mechanical Engineering, Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Košice, SlovakiaInstitute of Management, Industrial and Digital Engineering, Faculty of Mechanical Engineering, Technical University of Kosice, Letná 9, 042 00 Košice, SlovakiaDepartment of Biomedical Engineering and Measurement, Faculty of Mechanical Engineering, Technical University of Kosice, Letná 9, 042 00 Košice, SlovakiaDepartment of Applied Mechanics and Mechanical Engineering, Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Košice, SlovakiaDepartment of Applied Mechanics and Mechanical Engineering, Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Košice, SlovakiaGenetic algorithms are a robust method for a solution of wide variety optimization problems. It explores a big space of design variables in order to find the best solution. From the point of view of a user, the algorithm requires the encoding of design variables into the form of strings and the procedure of optimization uses them for optimization. Here, for the structural engineer, it is crucial to find the form of objective function including the constraints of the task and also to avoid critical states during the solution of structural responses. This paper presents the use of genetic algorithm for solving truss structures. The use of genetic algorithm approach is shown on three cases of truss structures.https://www.mdpi.com/1996-1944/14/4/715genetic algorithmtruss structurebarFEMoptimization |
| spellingShingle | Ingrid Delyová Peter Frankovský Jozef Bocko Peter Trebuňa Jozef Živčák Barbara Schürger Sára Janigová Sizing and Topology Optimization of Trusses Using Genetic Algorithm Materials genetic algorithm truss structure bar FEM optimization |
| title | Sizing and Topology Optimization of Trusses Using Genetic Algorithm |
| title_full | Sizing and Topology Optimization of Trusses Using Genetic Algorithm |
| title_fullStr | Sizing and Topology Optimization of Trusses Using Genetic Algorithm |
| title_full_unstemmed | Sizing and Topology Optimization of Trusses Using Genetic Algorithm |
| title_short | Sizing and Topology Optimization of Trusses Using Genetic Algorithm |
| title_sort | sizing and topology optimization of trusses using genetic algorithm |
| topic | genetic algorithm truss structure bar FEM optimization |
| url | https://www.mdpi.com/1996-1944/14/4/715 |
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