Application of genetic algorithm for the support location optimization of beams

Bo P. Wang, Jahau L. Chen

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)


Genetic algorithms are adaptive procedures that find solutions to problems by an evolutionary process that mimics natural selection. In this paper, the use of genetic algorithms for the selection of optimal support locations of beams is presented. Both elastic and rigid supports are considered. The approach of adapting the genetic algorithms into the optimal design process is described. This approach is used to optimize locations of three supports for beams with three types of boundary conditions.

Original languageEnglish
Pages (from-to)797-800
Number of pages4
JournalComputers and Structures
Issue number4
Publication statusPublished - 1996 Feb

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Modelling and Simulation
  • Materials Science(all)
  • Mechanical Engineering
  • Computer Science Applications


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