Computationally intelligent optimization of metal cutting regimes
| dc.citation.epage | 14 | |
| dc.citation.issue | 107358 | |
| dc.citation.rank | M21 | |
| dc.citation.spage | 1 | |
| dc.citation.volume | 152 | |
| dc.contributor.author | Tanikić, Dejan | |
| dc.date.accessioned | 2023-12-25T21:26:02Z | |
| dc.date.available | 2023-12-25T21:26:02Z | |
| dc.date.issued | 2020 | |
| dc.identifier.doi | https://doi.org/10.1016/j.measurement.2019.107358 | |
| dc.identifier.issn | 0263-2241 | |
| dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0263224119312229 | |
| dc.identifier.uri | https://repozitorijum.tfbor.bg.ac.rs/handle/123456789/477 | |
| dc.language.iso | en | |
| dc.rights.license | ARR | |
| dc.rights.uri | https://en.wikipedia.org/wiki/All_rights_reserved | |
| dc.source | Measurement | |
| dc.title | Computationally intelligent optimization of metal cutting regimes | |
| dc.type | article | |
| dc.type.version | publishedVersion |