Discrete Optimum Design for Truss Structures by Subset Simulation Algorithm
Publication: Journal of Aerospace Engineering
Volume 28, Issue 4
Abstract
This article deals with the design optimization of truss structures with discrete design variables, which remains quite a challenging task in structural design. A new discrete search strategy based on the recently developed subset simulation optimization algorithm is proposed in detail for this type of structural optimization. The discrete design variables are transformed into standard normal variable space to implement the sampling procedure in subset simulation optimization, while the optimization is processed in the discrete design space in the mean time. The performance of the proposed method is illustrated by four representative benchmark optimization problems. Comparisons are made with other well known stochastic optimization algorithms. It is found that the proposed method can produce optimum designs as good as or better than those of other stochastic optimization algorithms.
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Acknowledgments
The authors are grateful for the support of the Natural Science Foundation of China (Grant No. 11102084) and the Fundamental Research Funds for the Central Universities (Grant No. 3082012NS2012078).
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Published In
Journal of Aerospace Engineering
Volume 28 • Issue 4 • July 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Aug 15, 2013
Accepted: Feb 5, 2014
Published online: Feb 7, 2014
Discussion open until: Dec 24, 2014
Published in print: Jul 1, 2015
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