Application of genetic algorithm for the support location optimization of beams

Bo P. Wang; Jahau L. Chen

doi:10.1016/0045-7949(95)00184-I

Application of genetic algorithm for the support location optimization of beams

Bo P. Wang, Jahau L. Chen

Department of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

41 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 beams with three types of boundary conditions.

Original language	English
Pages (from-to)	797-800
Number of pages	4
Journal	Computers and Structures
Volume	58
Issue number	4
DOIs	https://doi.org/10.1016/0045-7949(95)00184-I
Publication status	Published - 1996 Feb

All Science Journal Classification (ASJC) codes

Civil and Structural Engineering
Modelling and Simulation
General Materials Science
Mechanical Engineering
Computer Science Applications

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10.1016/0045-7949(95)00184-I

Cite this

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AB - 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.

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Application of genetic algorithm for the support location optimization of beams

Abstract

All Science Journal Classification (ASJC) codes

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