Size and Shape Optimization of Two-Dimensional Trusses Using Hybrid Big Bang-Big Crunch Algorithm

The Hybrid Big Bang-Big Crunch (HBB-BC) optimization algorithm is employed for size and shape optimal design of two-dimensional truss structures. HBB-BC compared to other new heuristic algorithm in some benchmark test. Numerical results demonstrate the efficiency and robustness of the HBB-BC optimization algorithm

Keywords:

Size and Shape Optimization , Truss Structures , Hybrid Big Bang-Big Crunch , Heuristic Algorithms

Authors

Hossein Lotfi

Department of Mechanical Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran

Ali Ghoddosian

Faculty of Mechanical Engineering, Semnan University, Semnan, Iran

Certificate
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لینک ثابت به این Paper:

https://civilica.com/doc/443421

شناسه ملی سند علمی:

JR_IJMEC-5-14_007

تاریخ نمایه سازی: 16 فروردین 1395

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:

Lotfi, Hossein and Ghoddosian, Ali,1394,Size and Shape Optimization of Two-Dimensional Trusses Using Hybrid Big Bang-Big Crunch Algorithm,https://civilica.com/doc/443421

Scientometrics

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Ranking of Islamic Azad University of Semnan

Type of center: Azad University

Paper count: 5,127

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