An approximation to the use of self-adaptive genetic algorithms in weight optimization of 3-D steel trusses
Fuente:
Redalyc
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Universidad del Valle
2021
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1876481867259052032 |
|---|---|
| author | Sebastián Ramírez-Echeverri |
| author_facet | Sebastián Ramírez-Echeverri |
| contents | An approximation to the use of self-adaptive genetic algorithms in weight optimization of 3-D steel trusses Sebastián Ramírez-Echeverri Jesús D. Villalba-Morales Ingeniería adaptation Special coding Parameters self Genetic algorithms structural optimization In the past few decades structural optimization through metaheuristics has gain recognition in the scientific community; non the less, to guarantee good results we require a good selection of metaheuristic’s parameters. In this paper we propose a multi-chromosome genetic algorithm with self-adaptive parameters, to optimize steel trusses in a three-dimensional space. The design variable are the sections assign to each truss element of the structure. The optimization objective is the minimize the weight of the structure, considering the displacement y maximum stress as constrains. The propose algorithm was applied to the optimization of two trusses, obtaining designs that had a 35% less weight than the initial designs and comparable to results obtained in other papers. However, the adaptation of the parameters allows a more robust optimization process when analyzing different types of trusses and eliminates the initial runs of the optimization algorithm required to calibrate the initial parameters. 2021 artículo científico 0123-3033 https://www.redalyc.org/articulo.oa?id=291368645006 https://www.redalyc.org/journal/2913/291368645006/ https://www.redalyc.org/journal/2913/291368645006/html/ https://www.redalyc.org/journal/2913/291368645006/291368645006.epub https://www.redalyc.org/journal/2913/291368645006/movil 10.25100/iyc.23i1.7337 en http://www.redalyc.org/revista.oa?id=2913 Ingeniería y Competitividad application/pdf Universidad del Valle Ingeniería y Competitividad (Colombia) Num.1 Vol.23 |
| format | Artículo científico |
| id | redalyc_291368645006 |
| institution | Redalyc |
| language | en |
| publishDate | 2021 |
| publisher | Universidad del Valle |
| spellingShingle | An approximation to the use of self-adaptive genetic algorithms in weight optimization of 3-D steel trusses Sebastián Ramírez-Echeverri Ingeniería adaptation Special coding Parameters self Genetic algorithms structural optimization An approximation to the use of self-adaptive genetic algorithms in weight optimization of 3-D steel trusses Sebastián Ramírez-Echeverri Jesús D. Villalba-Morales Ingeniería adaptation Special coding Parameters self Genetic algorithms structural optimization In the past few decades structural optimization through metaheuristics has gain recognition in the scientific community; non the less, to guarantee good results we require a good selection of metaheuristic’s parameters. In this paper we propose a multi-chromosome genetic algorithm with self-adaptive parameters, to optimize steel trusses in a three-dimensional space. The design variable are the sections assign to each truss element of the structure. The optimization objective is the minimize the weight of the structure, considering the displacement y maximum stress as constrains. The propose algorithm was applied to the optimization of two trusses, obtaining designs that had a 35% less weight than the initial designs and comparable to results obtained in other papers. However, the adaptation of the parameters allows a more robust optimization process when analyzing different types of trusses and eliminates the initial runs of the optimization algorithm required to calibrate the initial parameters. 2021 artículo científico 0123-3033 https://www.redalyc.org/articulo.oa?id=291368645006 https://www.redalyc.org/journal/2913/291368645006/ https://www.redalyc.org/journal/2913/291368645006/html/ https://www.redalyc.org/journal/2913/291368645006/291368645006.epub https://www.redalyc.org/journal/2913/291368645006/movil 10.25100/iyc.23i1.7337 en http://www.redalyc.org/revista.oa?id=2913 Ingeniería y Competitividad application/pdf Universidad del Valle Ingeniería y Competitividad (Colombia) Num.1 Vol.23 |
| title | An approximation to the use of self-adaptive genetic algorithms in weight optimization of 3-D steel trusses |
| topic | Ingeniería adaptation Special coding Parameters self Genetic algorithms structural optimization |
| url | https://www.redalyc.org/articulo.oa?id=291368645006 https://www.redalyc.org/journal/2913/291368645006/ https://www.redalyc.org/journal/2913/291368645006/html/ https://www.redalyc.org/journal/2913/291368645006/291368645006.epub https://www.redalyc.org/journal/2913/291368645006/movil |