دوره 13، شماره 2 - ( 1-1402 )
جلد 13 شماره 2 صفحات 236-219 |
برگشت به فهرست نسخه ها
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Kaveh A, Zaerreza A, Zaerreza J. VIBRATING PARTICLES SYSTEM-STATISTICAL REGENERATION MECHANISM ALGORITHM (VPS-SRM) FOR SIZING OPTIMIZATION OF STRUCTURES WITH DISCRETE VARIABLES. IJOCE 2023; 13 (2) :219-236
URL: http://ijoce.iust.ac.ir/article-1-551-fa.html
URL: http://ijoce.iust.ac.ir/article-1-551-fa.html
VIBRATING PARTICLES SYSTEM-STATISTICAL REGENERATION MECHANISM ALGORITHM (VPS-SRM) FOR SIZING OPTIMIZATION OF STRUCTURES WITH DISCRETE VARIABLES. عنوان نشریه. 1402; 13 (2) :219-236
چکیده: (8976 مشاهده)
Vibrating particles system (VPS) is a swarm intelligence-based optimizer inspired by free vibration with a single degree of freedom systems. VPS is one of the well-known algorithms in structural optimization problems. However, its performance can be improved to find a better solution. This study introduces an improved version of the VPS using the statistical regeneration mechanism for the optimal design of the structures with discrete variables. The improved version is named VPS-SRM, and its efficiency is tested in the three real-size optimization problems. The optimization results reveal the capability and robustness of the VPS-SRM for the optimal design of the structures with discrete sizing variables.
نوع مطالعه: پژوهشي |
موضوع مقاله:
Optimal design
دریافت: 1401/10/22 | پذیرش: 1402/2/1 | انتشار: 1402/2/1
دریافت: 1401/10/22 | پذیرش: 1402/2/1 | انتشار: 1402/2/1
| بازنشر اطلاعات | |
 | این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است. |
