Optimization of large-scale 3-D trusses using evolution strategies and neural networks

Papadrakakis, M; Lagaros, ND; Tsompanakis, Y

dc.contributor.author	Papadrakakis, M	en
dc.contributor.author	Lagaros, ND	en
dc.contributor.author	Tsompanakis, Y	en
dc.date.accessioned	2014-03-01T01:15:01Z
dc.date.available	2014-03-01T01:15:01Z
dc.date.issued	1999	en
dc.identifier.issn	02663511	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13290
dc.subject	Evolution Strategy	en
dc.subject	Large Scale	en
dc.subject	Neural Network	en
dc.subject.other	Flexible structures	en
dc.subject.other	Hangars	en
dc.subject.other	Learning algorithms	en
dc.subject.other	Neural networks	en
dc.subject.other	Optimization	en
dc.subject.other	Roofs	en
dc.subject.other	Evolution strategies	en
dc.subject.other	Large scale three dimensional trusses	en
dc.subject.other	Structural optimization	en
dc.subject.other	Trusses	en
dc.title	Optimization of large-scale 3-D trusses using evolution strategies and neural networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1260/0266351991494830	en
heal.identifier.secondary	http://dx.doi.org/10.1260/0266351991494830	en
heal.publicationDate	1999	en
heal.abstract	The objective of this paper is to investigate the efficiency of optimization algorithms, based on evolution strategies, for the solution of large-scale structural optimization problems. Furthermore, the structural analysis phase is replaced by a neural network prediction for the computation of the necessary data for the evolution strategies (ES) optimization procedure. The use of neural networks (NN) was motivated by the time-consuming repeated analyses required by ES during the optimization process. A back propagation algorithm is implemented for training the NN using data derived from selected analyses. The trained NN is then used to predict, within an acceptable accuracy, the values of the objective and constraint functions. The proposed methodology has been applied in sizing structural optimization problems of large-scale three dimensional roof trusses. The numerical tests presented demonstrate the computational advantages of the proposed approach which become more pronounced for large-scale optimization problems.	en
heal.publisher	Multi-Science Publishing Co, Ltd, Brentwood, United Kingdom	en
heal.journalName	International Journal of Space Structures	en
dc.identifier.doi	10.1260/0266351991494830	en
dc.identifier.volume	14	en
dc.identifier.issue	3	en
dc.identifier.spage	211	en
dc.identifier.epage	223	en