%0 Journal Article
%T Approach to Optimization of Cutting Condition Using of Imperialist Competitive Algorithm
%A Hossein Towsyfyan
%A Seyed Adnan Adnani Salehi
%A Majed Ghayyem
%A Farid Mosaedi
%J International Journal of Mechatronics, Electrical and Computer Technology
%D 2012
%I Austrian E-Journals of Universal Scientific Organization
%X 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.
%K Imperialist competitive algorithm
%K machining process
%U http://aeuso.org/Archives/Vol.2/Vol.2(5),%20Oct,%202012/Approach%20to%20Optimization%20of%20Cutting%20Condition%20Using%20of%20Imperialist%20Competitive%20Algorithm.pdf