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dc.contributor.authorToklu Y.C.
dc.contributor.authorToklu N.E.
dc.date.accessioned20.04.201910:49:12
dc.date.accessioned2019-04-20T21:43:25Z
dc.date.available20.04.201910:49:12
dc.date.available2019-04-20T21:43:25Z
dc.date.issued2017
dc.identifier.isbn9781536122008
dc.identifier.isbn9781536120226
dc.identifier.issn-
dc.identifier.urihttps://hdl.handle.net/20.500.12403/547
dc.description.abstractUse of meta-heuristic algorithms in analysis of structures is much more recent than their use in design of structures. Effectively, while design optimization makes use of genetic algorithms, simulated annealing, swarm optimization, etc. since about half a century with an increasing interest, these techniques are being used in structural analysis since a decade only. Total Potential Optimization using Meta-heuristic Algorithms (TPO/MA), though being an emerging method at the moment, has proved to be very efficient in solving nonlinear problems, involving both material and geometric nonlinearities. The capabilities of the method in treating under-constrained problems and problems with non-unique solutions are much more advanced than the classical methods including the well-known Finite Element Method. © 2017 Nova Science Publishers, Inc.en_US
dc.language.isoengen_US
dc.publisherNova Science Publishers, Inc.
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGenetic algorithms
dc.subjectHeuristic methods
dc.subjectProblem solving
dc.subjectShape optimization
dc.subjectSimulated annealing
dc.subjectClassical methods
dc.subjectDesign optimization
dc.subjectGeometric non-linearity
dc.subjectMeta heuristic algorithm
dc.subjectNon-unique solutions
dc.subjectNonlinear problems
dc.subjectSwarm optimization
dc.subjectUnder-constrained
dc.subjectHeuristic algorithms
dc.subjectGenetic algorithms
dc.subjectHeuristic methods
dc.subjectProblem solving
dc.subjectShape optimization
dc.subjectSimulated annealing
dc.subjectClassical methods
dc.subjectDesign optimization
dc.subjectGeometric non-linearity
dc.subjectMeta heuristic algorithm
dc.subjectNon-unique solutions
dc.subjectNonlinear problems
dc.subjectSwarm optimization
dc.subjectUnder-constrained
dc.subjectHeuristic algorithms
dc.titleAnalysis of structures by total potential optimization using meta-heuristic algorithms (TPO/MA)en_US
dc.typebookParten_US
dc.relation.journalMathematical Research Summariesen_US
dc.contributor.departmentBayburt Universityen_US
dc.contributor.authorID6602550484
dc.contributor.authorID55102846200
dc.identifier.volume2
dc.identifier.startpage31
dc.relation.publicationcategoryKitap - Uluslararasıen_US


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