Yıldız, Ali Rıza2021-03-202021-03-2020131568-49461872-9681http://doi.org/10.1016/j.asoc.2012.04.013https://hdl.handle.net/20.500.12885/1249Yildiz, Ali Riza/0000-0003-1790-6987The purpose of this paper is to develop a novel hybrid optimization method (HRABC) based on artificial bee colony algorithm and Taguchi method. The proposed approach is applied to a structural design optimization of a vehicle component and a multi-tool milling optimization problem. A comparison of state-of-the-art optimization techniques for the design and manufacturing optimization problems is presented. The results have demonstrated the superiority of the HRABC over the other techniques like differential evolution algorithm, harmony search algorithm, particle swarm optimization algorithm, artificial immune algorithm, ant colony algorithm, hybrid robust genetic algorithm, scatter search algorithm, genetic algorithm in terms of convergence speed and efficiency by measuring the number of function evaluations required. (C) 2012 Elsevier B.V. All rights reserved.eninfo:eu-repo/semantics/closedAccessArtificial bee colonyManufacturingMillingStructural optimizationHybrid approachArticle10.1016/j.asoc.2012.04.01313529062912WOS:000319205200058Q1Q1