Evolution of Optimum Structural Shapes Using Genetic Algorithm
Publication: Journal of Structural Engineering
Volume 124, Issue 11
Abstract
The optimum structural shape design of skeletal structures has traditionally been solved by using conceptual designs, often based on ground structures, in which the generated designs resemble the conceptual designs. If the design could be approached without the use of conceptual designs or ground structures, there is a potential for generating new and innovative designs, especially when more complex design problems are attempted. A methodology using such a design approach, made possible by the use of the genetic algorithm, is proposed in this paper. The proposed methodology uses the genetic algorithm to evolve optimum structural shape designs, which are free to assume any geometry and topology. The sizing, configurational, and topological aspects of the design are simultaneously addressed. Discrete member sizes are considered. The methodology is capable of addressing single and multiple loadings, and plane or space structures. A new string representation scheme, generalized penalty function, and fitness function are introduced. The proposed methodology is applied to two illustrative examples involving single-span plane trusses and the results described.
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Information & Authors
Information
Published In
Journal of Structural Engineering
Volume 124 • Issue 11 • November 1998
Pages: 1331 - 1338
Copyright
Copyright © 1998 American Society of Civil Engineers.
History
Published online: Nov 1, 1998
Published in print: Nov 1998
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