Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/29602
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dc.date.accessioned2022-11-28T13:10:32Z-
dc.date.available2022-11-28T13:10:32Z-
dc.date.issued2019-08-
dc.identifier.citationYıldız, B. S. ve Yıldız A. R. (2019). ''The Harris hawks optimization algorithm, salp swarm algorithm, grasshopper optimization algorithm and dragonfly algorithm for structural design optimization of vehicle components''. Materials Testing, 61(8), 744-748en_US
dc.identifier.issn0025-5300-
dc.identifier.urihttps://doi.org/10.3139/120.111379-
dc.identifier.urihttps://www.degruyter.com/document/doi/10.3139/120.111379/html-
dc.identifier.urihttp://hdl.handle.net/11452/29602-
dc.description.abstractThere is a growing interest in designing lightweight and low-cost vehicles. In this research, the Harris hawks optimization algorithm (the HHO), the salp swarm algorithm (SSA), the grasshopper optimization algorithm(GOA), and the dragonfly algorithm (DA) are introduced to solve shape optimization problems in the automotive industry. This research is the first application of the HHO, the SSA, the GOA, and the DA to shape design optimization problems in the literature. In this paper, the HHO, the SSA, and the DA algorithms are used for shape optimization of a vehicle brake pedal to prove how the HHO, the SSA, the GOA, and the DA can be used for solving shape optimization problems. The results show the ability of the HHO, the SSA, the GOA, and the DA to design better optimal components.en_US
dc.language.isoenen_US
dc.publisherWalter de Gruyteren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHarris hawks algorithmen_US
dc.subjectSalp swarm algorithmen_US
dc.subjectGrasshopper optimization algorithmen_US
dc.subjectDragonfly algorithmen_US
dc.subjectStructural optimizationen_US
dc.subjectOptimal machining parametersen_US
dc.subjectMultiobjective optimizationen_US
dc.subjectGravitational searchen_US
dc.subjectGenetic algorithmen_US
dc.subjectImmune algorithmen_US
dc.subjectTopology desingen_US
dc.subjectHybrid approachen_US
dc.subjectTaguchis methoden_US
dc.subjectOptimum designen_US
dc.subjectWater cycleen_US
dc.subjectAutomotive industryen_US
dc.subjectStructural designen_US
dc.subjectStructural optimizationen_US
dc.subjectVehiclesen_US
dc.subjectLow costsen_US
dc.subjectOptimization algorithmsen_US
dc.subjectSalp swarmsen_US
dc.subjectShape designsen_US
dc.subjectShape optimization problemen_US
dc.subjectStructural design optimizationen_US
dc.subjectVehicle brakesen_US
dc.subjectVehicle componentsen_US
dc.subjectShape optimizationen_US
dc.titleThe Harris hawks optimization algorithm, salp swarm algorithm, grasshopper optimization algorithm and dragonfly algorithm for structural design optimization of vehicle componentsen_US
dc.typeArticleen_US
dc.identifier.wos000478759900005tr_TR
dc.identifier.scopus2-s2.0-85072312435tr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.contributor.departmentBursa Uludağ üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü.tr_TR
dc.relation.bapBUAP(MH)-2019/2tr_TR
dc.contributor.orcid0000-0001-7592-8733tr_TR
dc.contributor.orcid0000-0003-1790-6987tr_TR
dc.identifier.startpage744tr_TR
dc.identifier.endpage748tr_TR
dc.identifier.volume61tr_TR
dc.identifier.issue8tr_TR
dc.relation.journalMaterials Testingen_US
dc.contributor.buuauthorYıldız, Betül Sultan-
dc.contributor.buuauthorYıldız, Ali Rıza-
dc.contributor.researcheridAAH-6495-2019tr_TR
dc.contributor.researcheridAAL-9234-2020tr_TR
dc.contributor.researcheridF-7426-2011tr_TR
dc.subject.wosMaterials science, characterization & testingen_US
dc.indexed.wosSCIEen_US
dc.indexed.scopusScopusen_US
dc.wos.quartileQ4en_US
dc.contributor.scopusid57094682600tr_TR
dc.contributor.scopusid7102365439tr_TR
dc.subject.scopusCutting Process; Chatter; Turningen_US
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