Parallel computational strategies for structural optimization

Papadrakakis, M; Lagaros, ND; Fragakis, Y

dc.contributor.author	Papadrakakis, M	en
dc.contributor.author	Lagaros, ND	en
dc.contributor.author	Fragakis, Y	en
dc.date.accessioned	2014-03-01T01:19:24Z
dc.date.available	2014-03-01T01:19:24Z
dc.date.issued	2003	en
dc.identifier.issn	0029-5981	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15473
dc.subject	Evolution strategies	en
dc.subject	Genetic algorithms	en
dc.subject	Parallel computational strategies	en
dc.subject	Structural optimization	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.classification	Mathematics, Interdisciplinary Applications	en
dc.subject.other	Computational methods	en
dc.subject.other	Computer simulation	en
dc.subject.other	Finite element method	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Parallel processing systems	en
dc.subject.other	Structural optimization	en
dc.subject.other	Skeletal structures	en
dc.subject.other	Structural analysis	en
dc.subject.other	parallel computing	en
dc.title	Parallel computational strategies for structural optimization	en
heal.type	journalArticle	en
heal.identifier.primary	10.1002/nme.821	en
heal.identifier.secondary	http://dx.doi.org/10.1002/nme.821	en
heal.language	English	en
heal.publicationDate	2003	en
heal.abstract	The objective of this paper is to investigate the efficiency of various computational algorithms implemented in the framework of structural optimization methods based on evolutionary algorithms. In particular, the efficiency of parallel computational strategies is examined with reference to evolution strategies (ES) and genetic algorithms (GA). Parallel strategies are implemented both at the level of the optimization algorithm, by exploiting the natural parallelization features of the evolutionary algorithms, as well as at the level of the repeated structural analysis problems that are required by ES and GA. In the latter case the finite element solutions are performed by the FETI domain decomposition method specially tailored to the particular type of problems at hand. The proposed methodology is generic and can be applied to all types of optimization problems as long as they involve large-scale finite element simulations. The numerical tests of the present study are performed on sizing optimization of skeletal structures. The numerical tests demonstrate the computational advantages of the proposed parallel strategies, which become more pronounced in large-scale optimization problems. Copyright (C) 2003 John Wiley Sons, Ltd.	en
heal.publisher	JOHN WILEY & SONS LTD	en
heal.journalName	International Journal for Numerical Methods in Engineering	en
dc.identifier.doi	10.1002/nme.821	en
dc.identifier.isi	ISI:000186436300004	en
dc.identifier.volume	58	en
dc.identifier.issue	9	en
dc.identifier.spage	1347	en
dc.identifier.epage	1380	en