Application of genetic algorithm for the support location optimization of beams

Bo Ping Wang, Jahau Lewis Chen

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

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 beam with three types of boundary conditions.

Original languageEnglish
Pages323-327
Number of pages5
Publication statusPublished - 1994
EventProceedings of the 1994 ASME Design Technical Conferences. Part 1 (of 2) - Minneapolis, MN, USA
Duration: 1994 Sept 111994 Sept 14

Other

OtherProceedings of the 1994 ASME Design Technical Conferences. Part 1 (of 2)
CityMinneapolis, MN, USA
Period94-09-1194-09-14

All Science Journal Classification (ASJC) codes

  • General Engineering

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