Nonlinear analysis of structures by Total Potential Optimization using Metaheuristic Algorithms (TPO/MA)

BildiriYalnız künye

Özet

Structural analysis problems can be formulized as either root finding problems, or optimization problems. The general practice is to choose the first option directly or to convert the second option again to a root finding problem by taking relevant derivatives and equating them to zero. The second alternative is used very randomly as it is and that only for some simple demonstrative problems, most probably due to difficulty in solving optimization problems by classical methods. The method called Total Potential Optimization using Metaheuristic Algorithms (TPO/MA) described in this study successfully enables handling structural problems with optimization formulation. Using metaheuristic algorithms provides additional advantages in dealing with all kinds of constraints.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/bayburt/12537Resmi atıflarda kullanılan kalıcı adres
İndeks kayıtları
Kaydın indeks veri tabanlarındaki sayfası (aktarımda alınan kayıt numarasıyla). Erişim, indeksin kendi koşullarına bağlıdır.
Atıflar
Scopus
1
Her kaynağın kendi saydığı toplam atıf; aktarım ve zenginleştirme sırasında alındı.
Tam Kayıt
AlanDeğerDil
dc.contributor.authorToklu, Y.C.
dc.contributor.authorBekdaş, G.
dc.contributor.authorTemür, R.
dc.contributor.authorToklu, Ş.Ç.
dc.contributor.authorUzun, F.
dc.contributor.editorde Wilde, P.
dc.contributor.editorSuter, G.
dc.contributor.editorRafiq, Y.
dc.date.accessioned2026-10-29T19:09:42.458634435Z
dc.date.available2026-10-29T19:09:42.458634435Z
dc.date.issued2013
dc.description.abstractStructural analysis problems can be formulized as either root finding problems, or optimization problems. The general practice is to choose the first option directly or to convert the second option again to a root finding problem by taking relevant derivatives and equating them to zero. The second alternative is used very randomly as it is and that only for some simple demonstrative problems, most probably due to difficulty in solving optimization problems by classical methods. The method called Total Potential Optimization using Metaheuristic Algorithms (TPO/MA) described in this study successfully enables handling structural problems with optimization formulation. Using metaheuristic algorithms provides additional advantages in dealing with all kinds of constraints.
dc.identifier.isbn978-320003145-6
dc.identifier.scopus2-s2.0-84912569539
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/12537
dc.language.isoen
dc.publisherUniversiteit Twente
dc.relation.conference20th International Workshop of the European Group for Intelligent Computing in Engineering, EG-ICE 2013
dc.relation.ispartofEuropean Group for Intelligent Computing in Engineering, EG-ICE 2013 - 20th International Workshop: Intelligent Computing in Engineering
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAlgorithms
dc.subjectMetaheuristics
dc.subjectNonlinear
dc.subjectStructural analysis
dc.subjectTPO/MA
dc.subjectTruss
dc.subject.otherAlgorithms
dc.subject.otherIntelligent computing
dc.subject.otherNonlinear analysis
dc.subject.otherShape optimization
dc.subject.otherStructural analysis
dc.subject.otherStructural optimization
dc.subject.otherTrusses
dc.subject.otherClassical methods
dc.subject.otherMeta heuristic algorithm
dc.subject.otherMeta heuristics
dc.subject.otherNonlinear
dc.subject.otherOptimization formulations
dc.subject.otherOptimization problems
dc.subject.otherStructural problems
dc.subject.otherTPO/MA
dc.subject.otherProblem solving
dc.titleNonlinear analysis of structures by Total Potential Optimization using Metaheuristic Algorithms (TPO/MA)
dc.typeConference Object
rdl.citation.scopus1
rdl.conference.date1 July 2013 through 3 July 2013
rdl.conference.placeVienna
rdl.oa.statusclosed
rdl.source.indexSCOPUS