دوره 11، شماره 1 - ( 10-1399 )
جلد 11 شماره 1 صفحات 73-55 |
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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: (8912 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
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