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Discrete size optimization of steel trusses using a refined big bang-big crunch algorithm
Date
2014-01-02
Author
Hasançebi, Oğuzhan
Azad, S. Kazemzadeh
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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This article presents a methodology that provides a method for design optimization of steel truss structures based on a refined big bang-big crunch (BB-BC) algorithm. It is shown that a standard formulation of the BB-BC algorithm occasionally falls short of producing acceptable solutions to problems from discrete size optimum design of steel trusses. A reformulation of the algorithm is proposed and implemented for design optimization of various discrete truss structures according to American Institute of Steel Construction Allowable Stress Design (AISC-ASD) specifications. Furthermore, the performance of the proposed BB-BC algorithm is compared to its standard version as well as other well-known metaheuristic techniques. The numerical results confirm the efficiency of the proposed algorithm in practical design optimization of truss structures.
Subject Keywords
Management Science and Operations Research
,
Industrial and Manufacturing Engineering
,
Control and Optimization
,
Applied Mathematics
,
Computer Science Applications
URI
https://hdl.handle.net/11511/38781
Journal
ENGINEERING OPTIMIZATION
DOI
https://doi.org/10.1080/0305215x.2012.748047
Collections
Department of Civil Engineering, Article