Optimum design of cold-formed steel channel beams using micro Genetic Algorithm

Jaehong Lee, Sun Myung Kim, Hyo Seon Park, Byung Hun Woo

Research output: Contribution to journalArticlepeer-review

70 Citations (Scopus)


An important advantage of cold-formed steel is 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, a micro Genetic Algorithm (μ-GA) is used to find an optimum cross-section of cold-formed steel beams. The μ-GA is one of the improved form of GAs, to reduce iteration and computing resources by using small populations. The design curves are generated for optimum values of the thickness and the web flat-depth-to-thickness ratio for unbraced beams under uniformly distributed load. As numerical results, the optimum design curves are presented for various load level.

Original languageEnglish
Pages (from-to)17-24
Number of pages8
JournalEngineering Structures
Issue number1
Publication statusPublished - 2005 Jan

Bibliographical note

Funding Information:
The first author would like to express his gratitude for the financial support by the Korea Institute of Industrial Technology Evaluation and Planning through Grant 10002825.

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering


Dive into the research topics of 'Optimum design of cold-formed steel channel beams using micro Genetic Algorithm'. Together they form a unique fingerprint.

Cite this