Comparison of non-deterministic search techniques in the optimum design of real size steel frames

Date

2010-9

Author

Hasançebi, Oğuzhan
Doğan, E.
Erdal, F.
Saka, M.P.

Metadata

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There is a noticeable increase in the emergence of non-deterministic search techniques that simulate natural phenomena into a numerical optimization technique in recent years. These techniques are used for developing structural optimization algorithms that are particularly effective for obtaining solutions to discrete programming problems. In this study amongst these techniques genetic algorithms, simulated annealing, evolution strategies, particle swarm optimizer, tabu search, ant colony optimization and harmony search are utilized to develop seven optimum design algorithms for real size rigidly connected steel frames. The design problems are formulated according to ASD-AISC (Allowable Stress Design Code of American Institute of Steel Institution).

Subject Keywords

Structural optimization, Minimum weight design of steel frames, Non-deterministic search techniques, Metaheuristic search algorithms, Stochastic search methods

URI

https://hdl.handle.net/11511/28331

Journal

Computers & Structures

DOI

https://doi.org/10.1016/j.compstruc.2010.06.006

Collections

Department of Civil Engineering, Article

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Citation Formats

O. Hasançebi, E. Doğan, F. Erdal, and M. P. Saka, “Comparison of non-deterministic search techniques in the optimum design of real size steel frames,” Computers & Structures, pp. 1033–1048, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/28331.