Elitist Self-Adaptive Step-Size Search in Optimum Sizing of Steel Structures

Date

2014-08-02

Author

Hasançebi, Oğuzhan

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This paper covers application of an elitist self-adaptive step-size search (ESASS) to optimum design of steel frame structures. In the ESASS two approaches are considered for improving the convergence accuracy as well as the computational efficiency of the original technique namely the so called self-adaptive step-size search (SASS). Firstly, an additional randomness is incorporated into the sampling step of the technique to preserve exploration capability of the algorithm during the optimization. Moreover, an adaptive sampling scheme is introduced to improve the quality of final solutions. Secondly, computational efficiency of the technique is accelerated via avoiding unnecessary analyses during the optimization process using an upper bound strategy. The numerical results demonstrate the usefulness of the ESASS in the sizing optimization problems of steel frame structures.

Subject Keywords

Structural design optimization, Optimal sizing, Metaheuristics, Self-adaptive step-size search, Steel frames

URI

https://hdl.handle.net/11511/70714
https://www.seekdl.org/conferences/paper/details/3908.html

DOI

https://doi.org/10.15224/ 978-1-63248-006-4-60

Conference Name

International Conference on Advances In Civil and Structural Engineering - CSE 2014

Collections

Department of Civil Engineering, Conference / Seminar

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Citation Formats

O. Hasançebi, “Elitist Self-Adaptive Step-Size Search in Optimum Sizing of Steel Structures,” Hotel G Tower, Kuala Lumpur, Malaysia 02 - 03 August, 2014, 2014, p. 1, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/70714.