Genetic algorithmic approach for multiobjective optimization of structures

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

12 Citations (Scopus)

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
Title of host publicationAmerican Society of Mechanical Engineers, Aerospace Division (Publication) AD
EditorsWalter F. Jones
Place of PublicationNew York, NY, United States
PublisherPubl by ASME
Pages29-38
Number of pages10
Volume38
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

Other

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

Fingerprint

Multiobjective optimization
optimization
Systems engineering
Structural design
Energy dissipation
Actuators
energy dissipation
bionics
deflection
structural design
mutation
vibration
mutations
systems engineering
engineering
crossovers
actuators

ASJC Scopus subject areas

  • Space and Planetary Science
  • Mechanical Engineering

Cite this

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

Genetic algorithmic approach for multiobjective optimization of structures. / Rao, Singiresu S.

American Society of Mechanical Engineers, Aerospace Division (Publication) AD. ed. / Walter F. Jones. Vol. 38 New York, NY, United States : Publ by ASME, 1993. p. 29-38.

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

Rao, SS 1993, Genetic algorithmic approach for multiobjective optimization of structures. in WF Jones (ed.), American Society of Mechanical Engineers, Aerospace Division (Publication) AD. vol. 38, Publ by ASME, New York, NY, United States, pp. 29-38, Proceedings of the 1993 ASME Winter Annual Meeting, New Orleans, LA, USA, 11/28/93.
Rao SS. Genetic algorithmic approach for multiobjective optimization of structures. In Jones WF, editor, American Society of Mechanical Engineers, Aerospace Division (Publication) AD. Vol. 38. New York, NY, United States: Publ by ASME. 1993. p. 29-38
Rao, Singiresu S. / Genetic algorithmic approach for multiobjective optimization of structures. American Society of Mechanical Engineers, Aerospace Division (Publication) AD. editor / Walter F. Jones. Vol. 38 New York, NY, United States : Publ by ASME, 1993. pp. 29-38
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