TECHNICAL PAPERS
Jul 1, 2006

Multiple Optimum Size/Shape/Topology Designs for Skeletal Structures Using a Genetic Algorithm

Publication: Journal of Structural Engineering
Volume 132, Issue 7

Abstract

A genetic algorithm is presented that can simultaneously optimize size, shape, and topology of skeletal structures, including both trusses and frames. The algorithm is unique because it finds multiple optimum and near-optimum topologies in a single run. The algorithm was executed on a bridge example where it found both traditionally recognized bridge topologies as well as less familiar topologies. It was also executed on two standard test problems as well as on a plane frame example. This algorithm presents the designer with more choices and more information than algorithms that converge to a single optimum design.

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Acknowledgment

This work was funded in part by the USA National Science Foundation under Grant No. NSFCMS-9817690, for which the writers are grateful.

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Information & Authors

Information

Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 132Issue 7July 2006
Pages: 1158 - 1165

History

Received: Feb 8, 2005
Accepted: Aug 10, 2005
Published online: Jul 1, 2006
Published in print: Jul 2006

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Notes

Note. Associate Editor: Christopher M. Foley

Authors

Affiliations

Richard J. Balling, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Brigham Young Univ., Provo, UT 84602. E-mail: [email protected]
Ryan R. Briggs
Graduate Assistant, Dept. of Civil and Environmental Engineering, Brigham Young Univ., Provo, UT 84602.
Kevin Gillman
Graduate Assistant, Dept. of Civil and Environmental Engineering, Brigham Young Univ., Provo, UT 84602.

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