Yıldız, Ali Rıza2021-03-202021-03-2020130020-02551872-6291http://doi.org/10.1016/j.ins.2012.07.012https://hdl.handle.net/20.500.12885/1257Selection of cutting parameters in machining operations is an essential task to reduce cost of the products and increase quality. This paper presents an optimization approach based on artificial bee colony algorithm for optimal selection of cutting parameters in multi-pass turning operations. The objective is to find the optimized cutting parameters in the turning operations. A comparison of evolutionary-based optimization techniques to solve multipass turning optimization problems is presented. The results of the proposed approach for the case studies are compared with previously published results by using other optimization techniques in the literature. (C) 2012 Elsevier Inc. All rights reserved.eninfo:eu-repo/semantics/closedAccessHybrid optimizationArtificial bee colony algorithmTaguchi methodManufacturingTurning operationsArticle10.1016/j.ins.2012.07.012220399407WOS:000313146500026Q1Q1