Applied soft computing for optimum design of structures

Lagaros, ND; Papadrakakis, M

dc.contributor.author	Lagaros, ND	en
dc.contributor.author	Papadrakakis, M	en
dc.date.accessioned	2014-03-01T02:07:49Z
dc.date.available	2014-03-01T02:07:49Z
dc.date.issued	2012	en
dc.identifier.issn	1615147X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29610
dc.subject	Design codes	en
dc.subject	Finite element simulations	en
dc.subject	Metaheuristics	en
dc.subject	Neural networks	en
dc.subject	Overhead cranes	en
dc.subject.other	Critical assessment	en
dc.subject.other	Design codes	en
dc.subject.other	Differential Evolution	en
dc.subject.other	Discretizations	en
dc.subject.other	Finite element simulations	en
dc.subject.other	Harmony search	en
dc.subject.other	Meta heuristics	en
dc.subject.other	Metaheuristic optimization	en
dc.subject.other	Number of degrees of freedom	en
dc.subject.other	Optimization procedures	en
dc.subject.other	Optimum designs	en
dc.subject.other	Overhead crane	en
dc.subject.other	Prediction schemes	en
dc.subject.other	Structural response	en
dc.subject.other	Bridge cranes	en
dc.subject.other	Evolutionary algorithms	en
dc.subject.other	Gantry cranes	en
dc.subject.other	Neural networks	en
dc.subject.other	Soft computing	en
dc.subject.other	Structural optimization	en
dc.subject.other	Structural design	en
dc.title	Applied soft computing for optimum design of structures	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s00158-011-0741-9	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s00158-011-0741-9	en
heal.publicationDate	2012	en
heal.abstract	In this study a critical assessment of three metaheuristic optimization algorithms, namely differential evolution, harmony search and particle swarm optimization, is performed with reference to their efficiency and robustness for the optimum design of real-world structures. Furthermore, a neural network based prediction scheme of the structural response, required to assess the quality of each candidate design during the optimization procedure, is proposed. The proposed methodology is applied to an overhead crane structure using different finite element simulations corresponding to a solid discretization as well as mixed discretizations with shell-solid and beam-solid elements. The number of degrees of freedom (dof) resulted for the simulation of the structural response varies in the range of 60,000 to 1,400,000 dof leading to highly computational intensive problems. © 2012 Springer-Verlag.	en
heal.journalName	Structural and Multidisciplinary Optimization	en
dc.identifier.doi	10.1007/s00158-011-0741-9	en
dc.identifier.volume	45	en
dc.identifier.issue	6	en
dc.identifier.spage	787	en
dc.identifier.epage	799	en