Robust genetic algorithm for structural optimization

S. Y. Chen, Subramaniam Rajan

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


The focus of this paper is on the development and implementation of a methodology for automated design of discrete structural systems. The research is aimed at utilizing Genetic Algorithms (GA) as an automated design tool. Several key enhancements are made to the simple GA in order to increase the efficiency, reliability and accuracy of the methodology for code-based design of structures. The AISC-ASD design code is used to illustrate the design methodology. Small as well as large-scale problems are solved. Simultaneous sizing, shape and topology optimal designs of structural framed systems subjected to static and dynamic loads are considered. Comparisons with results from prior publications and solution to new problems show that the enhancements made to the GA do indeed make the design system more efficient and robust.

Original languageEnglish (US)
Pages (from-to)313-336
Number of pages24
JournalStructural Engineering and Mechanics
Issue number4
StatePublished - Oct 2000

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanics of Materials
  • Mechanical Engineering


Dive into the research topics of 'Robust genetic algorithm for structural optimization'. Together they form a unique fingerprint.

Cite this