Hunting search algorithm based design optimization of steel cellular beams

dc.contributor.authorDoǧan E.
dc.date.accessioned2024-07-22T08:18:13Z
dc.date.available2024-07-22T08:18:13Z
dc.date.issued2013
dc.description.abstractThe present study examines a hunting search based optimum design algorithm for cellular beams. Hunting search is a numerical optimization method inspired by group hunting of animals. The proposed algorithm selects the optimum UB section to be used in the production of a cellular beam subjected to a general loading, the optimum holes diameter and number of these holes in the beam. Furthermore, this selection is also carried out such that the design limitations are satisfied and the weight of the cellular beam is the minimum. A design example is considered to demonstrate the application of the optimum design algorithm developed.
dc.identifier.DOI-ID10.1145/2464576.2480777
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/17241
dc.language.isoEnglish
dc.subjectLearning algorithms
dc.subjectStructural optimization
dc.subjectCellular beams
dc.subjectMeta-heuristic techniques
dc.subjectMinimum weight
dc.subjectOptimum structural design
dc.subjectSearch Algorithms
dc.subjectLoading
dc.titleHunting search algorithm based design optimization of steel cellular beams
dc.typeConference paper

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