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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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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.