Taguchi-enhanced Grey Wolf Optimizer for robust design of cellular beams

dc.contributor.authorOzyuksel Ciftcioglu A.
dc.contributor.authorUstuner B.
dc.contributor.authorDogan E.
dc.contributor.authorArafat S.
dc.contributor.authorHussain A.
dc.date.accessioned2024-07-22T08:03:21Z
dc.date.available2024-07-22T08:03:21Z
dc.date.issued2023
dc.description.abstractThis research presents a comprehensive comparative analysis of optimization techniques for achieving the optimal design of cellular beams. The incorporation of gaps within cellular beams reduces the weight of the beam and increases section height, resulting in the production of lighter and stronger sections. The Taguchi method is employed to fine-tune the parameters of the Grey Wolf Optimizer, enabling the achievement of a robust design. The performance of each algorithm is evaluated through three design examples, facilitating comprehensive comparisons among the seven algorithms. Moreover, the study encompasses the modeling and analysis of optimally designed cellular beams using finite element software. © 2023 Taylor & Francis Group, LLC.
dc.identifier.DOI-ID10.1080/15397734.2023.2262564
dc.identifier.issn15397734
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/12245
dc.language.isoEnglish
dc.publisherTaylor and Francis Ltd.
dc.titleTaguchi-enhanced Grey Wolf Optimizer for robust design of cellular beams
dc.typeArticle

Files