Resumen
In recent decades, numerical tools have been to improve the design process of civil structures. Among
them, it is possible to find the evolutionary algorithms, which are based on analogies with the evolutionary process.
among the main limitations observed in the literature for its implementation is the need to enter the algorithm
parameters for a problem in study by the user. there exist some parameters own of each algorithm that control the
success level. This paper presents the application of an adaptive differential evolution algorithm (ADEA) to the
optimization of planar steel trusses. ADEA does not require that the user to set the amplification factor, crossover
parameter and population size. To show the performance of the proposed methodology, two cases obtained in the
literature are presented for comparison, which is done in terms of quality of the objective function, robustness and
convergence. It is expected that with this type of work, the results required in structural optimization problems can
be improved through implementing the differential evolution algorithm.
them, it is possible to find the evolutionary algorithms, which are based on analogies with the evolutionary process.
among the main limitations observed in the literature for its implementation is the need to enter the algorithm
parameters for a problem in study by the user. there exist some parameters own of each algorithm that control the
success level. This paper presents the application of an adaptive differential evolution algorithm (ADEA) to the
optimization of planar steel trusses. ADEA does not require that the user to set the amplification factor, crossover
parameter and population size. To show the performance of the proposed methodology, two cases obtained in the
literature are presented for comparison, which is done in terms of quality of the objective function, robustness and
convergence. It is expected that with this type of work, the results required in structural optimization problems can
be improved through implementing the differential evolution algorithm.
| Idioma original | Español |
|---|---|
| Estado | Publicada - 2021 |
| Evento | XLI Ibero-Latin American Congress on Computational Methods in Engineering - Foz do Iguacu, Brasil Duración: 16 nov. 2020 → … |
Conferencia
| Conferencia | XLI Ibero-Latin American Congress on Computational Methods in Engineering |
|---|---|
| País/Territorio | Brasil |
| Ciudad | Foz do Iguacu |
| Período | 16/11/20 → … |