Abstract:The choice of cutting parameters has a direct influence on tool life, products efficiency and quality. In order to select reasonable cutting parameters, taking the maximum productivity as the goal, a milling optimization model was constructed. Combined with the different constrains in practical processing, the improved genetic algorithm (Multi-Island GA) was used to find the optimal solution of objective function. Compared the optimized results with the empirical value of cutting manual, the selection of cutting parameters is improved effectively, the production efficiency is also improved, and the optimization results verify the feasibility of the algorithm.