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dc.contributor.authorToklu Y.C.
dc.contributor.authorToklu N.E.
dc.date.accessioned20.04.201910:49:12
dc.date.accessioned2019-04-20T21:44:30Z
dc.date.available20.04.201910:49:12
dc.date.available2019-04-20T21:44:30Z
dc.date.issued2013
dc.identifier.isbn9781624176371
dc.identifier.issn-
dc.identifier.urihttps://hdl.handle.net/20.500.12403/871
dc.description.abstractUse of meta-heuristic algorithms in analysis of structures is much more recent thantheir use in design of structures. Effectively, while design optimization makes use ofgenetic algorithms, simulated annealing, swarm optimization, etc. since about half acentury with an increasing interest, these techniques are being used in structural analysissince a decade only.Total Potential Optimization using Meta-heuristic Algorithms (TPO/MA), thoughbeing an emerging method at the moment, has proved to be very efficient in solvingnonlinear problems, involving both material and geometric nonlinearities. Thecapabilities of the method in treating under-constrained problems and problems with nonuniquesolutions are much more advanced than the classical methods including the wellknownFinite Element Method. © 2013 Nova Science Publishers, Inc. All rights reserved.en_US
dc.language.isoengen_US
dc.publisherNova Science Publishers, Inc.
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleAnalysis of structures by total potential optimization using meta-heuristic algorithms (TPO/MA)en_US
dc.typebookParten_US
dc.relation.journalHeuristics: Theory and Applicationsen_US
dc.contributor.departmentBayburt Universityen_US
dc.contributor.authorID6602550484
dc.contributor.authorID55102846200
dc.identifier.startpage375
dc.identifier.endpage388
dc.relation.publicationcategoryKitap - Uluslararasıen_US


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