Robust genetic algorithm for structural optimization

S. Y. Chen, Subramaniam Rajan

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

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
Volume10
Issue number4
DOIs
StatePublished - Oct 2000

ASJC Scopus subject areas

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

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