Approach to Optimization of Cutting Condition Using of Imperialist Competitive Algorithm

Optimization of machining parameters is a non-linear optimization with constrains and it is difficult for the conventional optimization algorithms to solve this problem. The purpose of this study is to demonstrate the potential of Imperialist Competitive Algorithm (ICA) for optimization of turning process. This algorithm is inspired by competition mechanism among Imperialists and colonies, in contrast to evolutionary algorithms. To validate the proposed approach, the results of ICA were finally compared with Genetic Algorithm (GA). Based on the results; ICA has demonstrated excellent capabilities such as simplicity, accuracy, faster convergence and better global optimum achievement. The outcome shows the success of ICA in optimizing the machining conditions.