Genetic algorithmic approach for multiobjective optimization of structures

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

12 Scopus citations

Abstract

The applicability of a biological model, based on genetic evolution, is presented for the multiobjective optimization of engineering systems. Algorithms embodying the ideas of reproduction, crossover and mutation are developed for the solution of different types of multiobjective optimization problems. Both continuous and mixed variable optimization problems are considered. The design of a truss structure for minimum weight, minimum deflection and maximum fundamental frequency of vibration is considered with constraints on the induced stresses and bounds on the cross sectional areas of its members to demonstrate application to a continuous-variable problem. The structural design along with selection of actuator locations in an actively controlled structure, for minimum energy dissipation and minimum weight, is considered to illustrate application to a mixed-variable problem.

Original languageEnglish (US)
Title of host publicationStructures
EditorsWalter F. Jones
PublisherPubl by ASME
Pages29-38
Number of pages10
ISBN (Print)0791812537
StatePublished - Dec 1 1993
Externally publishedYes
EventProceedings of the 1993 ASME Winter Annual Meeting - New Orleans, LA, USA
Duration: Nov 28 1993Dec 3 1993

Publication series

NameAmerican Society of Mechanical Engineers, Aerospace Division (Publication) AD
Volume38
ISSN (Print)0733-4230

Other

OtherProceedings of the 1993 ASME Winter Annual Meeting
CityNew Orleans, LA, USA
Period11/28/9312/3/93

ASJC Scopus subject areas

  • Mechanical Engineering
  • Space and Planetary Science

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  • Cite this

    Rao, S. S. (1993). Genetic algorithmic approach for multiobjective optimization of structures. In W. F. Jones (Ed.), Structures (pp. 29-38). (American Society of Mechanical Engineers, Aerospace Division (Publication) AD; Vol. 38). Publ by ASME.