Robust genetic algorithm for structural optimization

S. Y. Chen, Subramaniam Rajan

Research output: Contribution to journalArticle

22 Citations (Scopus)

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
StatePublished - Oct 2000

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Structural optimization
Genetic algorithms
Dynamic loads
Topology

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

Cite this

Robust genetic algorithm for structural optimization. / Chen, S. Y.; Rajan, Subramaniam.

In: Structural Engineering and Mechanics, Vol. 10, No. 4, 10.2000, p. 313-336.

Research output: Contribution to journalArticle

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