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dc.contributor.authorMilenković, Branislaven_US
dc.contributor.authorJovanović, Đorđeen_US
dc.contributor.authorKrstić, Mladenen_US
dc.date.accessioned2026-09-22T09:38:10Z-
dc.date.available2026-09-22T09:38:10Z-
dc.date.issued2026-
dc.identifier.isbn978-86-7776-296-4-
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/5802-
dc.description.abstractMachine design is a field of research where the process of designing a mechanical element is optimized, having certain goals and limitations in mind. In this paper, PSyOA algorithm was used to optimize volume of worm gear with constant number of variables. The pseudo-code for this algorithm was written using MATLAB R2025a. Applying PSOA algorithm, we obtained optimal or near-optimal results. By further development of this algorithm, this method can be modified and improved in order to obtain better results.en_US
dc.publisherUniversity of Kragujevac, Faculty of Technical Sciences Čačak, Serbiaen_US
dc.subjectOptimization | Gear | Snakeen_US
dc.titleVolume Optimization of the Worm Gear Using the Python Snake Optimization Algorithmen_US
dc.typeConference Paperen_US
dc.relation.conference11th International Scientific Conference Technics, Informatics, and Education – TIE 2026; Čačak, Serbia, 18-20 September 2026en_US
dc.contributor.affiliationComputer Scienceen_US
dc.contributor.affiliationMathematical Institute of the Serbian Academy of Sciences and Artsen_US
dc.description.rankM33-
item.fulltextNo Fulltext-
item.openairetypeConference Paper-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.orcid0000-0003-1222-1292-
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