دوره 11، شماره 1 - ( 10-1399 )
جلد 11 شماره 1 صفحات 73-55 |
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:
Sangtarash B H, Ghasemi M R, Ghohani Arab H, Sohrabi M R. HYBRID ARTIFICIAL PHYSICS OPTIMIZATION AND BIG BANG-BIG CRUNCH ALGORITHM (HPBA) FOR SIZE OPTIMIZATION OF TRUSS STRUCTURES. IJOCE 2021; 11 (1) :55-73
URL: http://ijoce.iust.ac.ir/article-1-465-fa.html
URL: http://ijoce.iust.ac.ir/article-1-465-fa.html
HYBRID ARTIFICIAL PHYSICS OPTIMIZATION AND BIG BANG-BIG CRUNCH ALGORITHM (HPBA) FOR SIZE OPTIMIZATION OF TRUSS STRUCTURES. عنوان نشریه. 1399; 11 (1) :55-73
چکیده: (9488 مشاهده)
Over the past decades, several techniques have been employed to improve the applicability of the metaheuristic optimization methods. One of the solutions for improving the capability of metaheuristic methods is the hybrid of algorithms. This study proposes a new optimization algorithm called HPBA which is based on the hybrid of two optimization algorithms; Big Bang-Big Crunch (BB-BC) inspired by the theory of the universe evolution and Artificial Physics Optimization (APO) which is a physical base optimization method. Finally, the performance of the proposed optimization method is compared with the originated methods. Moreover, the performance of the proposed algorithm is evaluated for truss optimization as an applied constrained optimization problem.
نوع مطالعه: پژوهشي |
موضوع مقاله:
Optimal design
دریافت: 1399/11/12 | پذیرش: 1399/10/12 | انتشار: 1399/10/12
دریافت: 1399/11/12 | پذیرش: 1399/10/12 | انتشار: 1399/10/12
| بازنشر اطلاعات | |
 | این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است. |
