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Combined size and shape optimization of structures with a new meta-heuristic algorithm

dc.contributor.authorDede, Tayfun
dc.contributor.authorAyvaz, Yusuf
dc.date.accessioned2026-06-27T13:38:19Z
dc.date.issued2015
dc.description.abstractIn this study, a new meta-heuristic algorithm called teaching-learning-based optimization (TLBO) is used for the size and shape optimization of structures. The TLBO algorithm is based on the effect of the influence of a teacher on the output of learners in a class. The cross-sectional areas of the bar element and the nodal coordinates of the structural system are the design variables for size and shape optimization, respectively. Displacement, allowable stress and the Euler buckling stress are taken as the constraint for the problem considered. Some truss structures are designed by using this new algorithm to show the efficiency of the TLBO algorithm. The results obtained from this study are compared with those reported in the literature. It is concluded that the TLBO algorithm presented in this study can be effectively used in combined size and shape optimization of the structures. (C) 2014 Elsevier B.V. All rights reserved.en
dc.description.urihttps://doi.org/10.1016/j.asoc.2014.12.007
dc.identifier.doi10.1016/j.asoc.2014.12.007
dc.identifier.eissn1872-9681
dc.identifier.endpage258
dc.identifier.issn1568-4946
dc.identifier.startpage250
dc.identifier.urihttps://hdl.handle.net/20.500.14981/54032
dc.identifier.volume28
dc.identifier.wos000348452500026
dc.language.isoeng
dc.publisherELSEVIER SCIENCE BV
dc.relation.ispartofAPPLIED SOFT COMPUTING
dc.subjectTeaching-learning-based optimization
dc.subjectSize optimization
dc.subjectShape optimization
dc.subjectTruss structure
dc.subjectIMPROVED GENETIC ALGORITHM
dc.subjectTRUSS STRUCTURES
dc.subjectDESIGN OPTIMIZATION
dc.subjectTOPOLOGY OPTIMIZATION
dc.subjectLAYOUT OPTIMIZATION
dc.subjectDISCRETE
dc.subjectGEOMETRY
dc.subjectSTRATEGY
dc.subjectComputer Science
dc.titleCombined size and shape optimization of structures with a new meta-heuristic algorithm
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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