Optimum design of grillage systems under code provisions using particle swarm optimization

Date

2010-08-27

Author

Doǧan, Erkan
Erdal, Feride
Saka, Mehmet Polat

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This paper presents particle swarm optimization based optimum design algorithm for the grillage systems. The optimum design problem is formulated considering the provisions of LRFD-AISC (Load and Resistance Factor Design, American Institute of Steel Construction) [1]. The optimum design algorithm selects the appropriate W-sections for the beams of the grillage system such that the design constraints are satisfied and the grillage weight is the minimum. The efficiency of the proposed algorithm is numerically investigated considering a number of grillage design examples.

Subject Keywords

Combinatorial optimization, Grillage systems, Minimum weight, Optimum structural design, Particle swarm optimization, Search technique

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77955908524&origin=inward
https://hdl.handle.net/11511/106439

DOI

https://doi.org/10.1145/1830483.1830535

Conference Name

12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010

Collections

Graduate School of Natural and Applied Sciences, Conference / Seminar

Citation Formats

E. Doǧan, F. Erdal, and M. P. Saka, “Optimum design of grillage systems under code provisions using particle swarm optimization,” presented at the 12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010, Portland, OR, Amerika Birleşik Devletleri, 2010, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77955908524&origin=inward.