Optimum design of cold-formed steel columns by using micro genetic algorithms

Jaehong Lee, Sun Myung Kim, Hyo Seon Park

Research output: Contribution to journalArticlepeer-review

43 Citations (Scopus)


Cold-formed steel members such as beams and columns have the great flexibility of cross-sectional profiles and sizes available to structural steel designers. However, this flexibility makes the selection of the most economical section difficult for a particular situation. In this study, micro genetic algorithm (MGA) is used to find an optimum cross section of cold-formed steel channel and lipped channel columns under axial compression. Flexural, torsional and torsional-flexural buckling of columns and flat-width-to-thickness ratio of web, flange and lip are considered as constraints. The design curves are generated for optimum values of the thickness, the web flat-depth-to-thickness ratio, the flange flat-width-to-thickness ratio for columns. As numerical results, the optimum design curves are presented for various load level and column lengths.

Original languageEnglish
Pages (from-to)952-960
Number of pages9
JournalThin-Walled Structures
Issue number9
Publication statusPublished - 2006 Sept

Bibliographical note

Funding Information:
The work presented in this paper was supported by research fund of the National Research Laboratory Program through Grant 2005-01504 from the Ministry of Science and Technology of Korea.

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanical Engineering


Dive into the research topics of 'Optimum design of cold-formed steel columns by using micro genetic algorithms'. Together they form a unique fingerprint.

Cite this