Bat inspired algorithm for discrete size optimization of steel frames

Date

2014-01-01

Author

Hasançebi, Oğuzhan
Carbas, S.

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Bat inspired (BI) algorithm is a recently developed metaheuristic optimization technique inspired by echolocation behavior of bats. In this study, the BI algorithm is examined in the context of discrete size optimization of steel frames designed for minimum weight. In the optimum design problem frame members are selected from available set of steel sections for producing practically acceptable designs subject to strength and displacement provisions of American Institute of Steel Construction-Allowable Stress Design (AISC-ASD) specification. The performance of the technique is quantified using three real-size large steel frames under actual load and design considerations. The results obtained provide a sufficient evidence for successful performance of the BI algorithm in comparison to other metaheuristics employed in structural optimization.

Subject Keywords

General Engineering, Software

URI

https://hdl.handle.net/11511/37732

Collections

Department of Civil Engineering, Article