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http://dx.doi.org/10.12989/scs.2017.24.1.129

Design of steel frames by an enhanced moth-flame optimization algorithm  

Gholizadeh, Saeed (Department of Civil Engineering, Urmia University)
Davoudi, Hamed (Department of Civil Engineering, Urmia University)
Fattahi, Fayegh (Department of Civil Engineering, Urmia University)
Publication Information
Steel and Composite Structures / v.24, no.1, 2017 , pp. 129-140 More about this Journal
Abstract
Structural optimization is one of the popular and active research areas in the field of structural engineering. In the present study, the newly developed moth-flame optimization (MFO) algorithm and its enhanced version termed as enhanced moth-flame optimization (EMFO) are employed to implement the optimization process of planar and 3D steel frame structures with discrete design variables. The main inspiration of this optimizer is the navigation method of moths in nature called transverse orientation. A number of benchmark steel frame optimization problems are solved by the MFO and EMFO algorithms and the results are compared with those of other meta-heuristics. The obtained numerical results indicate that the proposed EMFO algorithm possesses better computational performance compared with other existing meta-heuristics.
Keywords
steel structures; optimization; meta-heuristic; enhanced moth-flame algorithm;
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Times Cited By KSCI : 7  (Citation Analysis)
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