Advanced energy-based analyses of trusses employing hybrid metaheuristics

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dc.contributor.authorBekdas, Gebrail
dc.contributor.authorKayabekir, Aylin Ece
dc.contributor.authorNigdeli, Sinan Melih
dc.contributor.authorToklu, Yusuf Cengiz
dc.date.accessioned2024-03-13T10:30:39Z
dc.date.available2024-03-13T10:30:39Z
dc.date.issued2019
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractTotal potential optimization using metaheuristic algorithm (TPO/MA) is an alternative method in structural analyses, and it is a black-box application for nonlinear analyses. In the study, an advanced TPO/MA using hybridization of several metaheuristic algorithms is investigated to solve large-scale structural analyses problems. The new generation algorithms considered in the study are flower pollination algorithm (FPA), teaching learning-based optimization, and Jaya algorithm (JA). Also, the proposed methods are compared with methodologies using classic and previously used algorithms such as differential evaluation, particle swarm optimization, and harmony search. Numerical investigations were carried out for structures with four to 150 degrees of freedoms (design variables). It has been seen that in several runs, JA gets trapped into local solutions. For that reason, four different hybrid algorithms using fundamentals of JA and phases of other algorithms, namely, JA using Levy flights, JA using Levy flights and linear distribution, JA with consequent student phase, and JA with probabilistic student phase (JA1SP), are developed. It is observed that among the variants tried, JA1SP is seen to be more effective on approaching to the global optimum without getting trapped in a local solution.en_US
dc.identifier.doi10.1002/tal.1609
dc.identifier.issn1541-7794
dc.identifier.issn1541-7808
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-85062983157en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1002/tal.1609
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3467
dc.identifier.volume28en_US
dc.identifier.wosWOS:000468788000005en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofStructural Design Of Tall And Special Buildingsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectanalyses of truss structuresen_US
dc.subjectflower pollination algorithmen_US
dc.subjecthybrid algorithmsen_US
dc.subjectJaya algorithmen_US
dc.subjectteaching learning-based optimizationen_US
dc.subjecttotal potential optimization using metaheuristic algorithmen_US
dc.titleAdvanced energy-based analyses of trusses employing hybrid metaheuristicsen_US
dc.typeArticleen_US

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