Pholdee, NantiwatPatel, Vivek K.Sait, Sadiq M.Bureerat, SujinYıldız, Ali Rıza2024-06-282024-06-282021-01-010025-5300https://doi.org/10.1515/mt-2020-0043https://www.degruyter.com/document/doi/10.1515/mt-2020-0043/htmlhttps://hdl.handle.net/11452/42600In this research, a novel optimization algorithm, which is a hybrid spotted hyena-Nelder-Mead optimization algorithm (HSHO-NM) algorithm, has been introduced in solving grinding optimization problems. A well-known grinding optimization problem is solved to prove the superiority of the HSHO-NM over other algorithms. The results of the HSHO-NM are compared with others. The results show that HSHO-NM is an efficient optimization approach for obtaining the optimal manufacturing variables in grinding operations.eninfo:eu-repo/semantics/closedAccessParticle swarm optimizationMultipass turning operationsMultiobjective optimizationDesign optimizationStructural optimizationSearch approachCrashworthinessSpotted hyena optimization algorithmNelder-mead optimizationManufacturingGrinding operationMaterials scienceArticle00063679400001429329863310.1515/mt-2020-00432195-8572