Application of genetic algorithm for the support location optimization of beams

Bo Ping Wang, Jahau Lewis Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Title of host publication20th Design Automation Conference
Subtitle of host publicationVolume 2 - Robust Design Applications; Decomposition and Design Optimization; Optimization Tools and Applications
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages323-327
Number of pages5
ISBN (Electronic)9780791897683
DOIs
Publication statusPublished - 1994
EventASME 1994 Design Technical Conferences, DETC 1994, collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium - Minneapolis, United States
Duration: 1994 Sep 111994 Sep 14

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
VolumePart F167892-7

Conference

ConferenceASME 1994 Design Technical Conferences, DETC 1994, collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium
Country/TerritoryUnited States
CityMinneapolis
Period94-09-1194-09-14

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modelling and Simulation

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