A part machining process ranking method incorporating imperial competition and genetic algorithm

Aiming at the problem of part machining process ordering in computer-aided process planning, with the optimization goal of minimizing the number of machine tools, clamping, and tool changes, a mathematical model of process order was constructed, and an optimization solution method integrating imperial competition and the genetic algorithm was proposed. The optimal processing sequence output by the imperial competition algorithm is used as the initial population of the genetic algorithm, and the solving performance of the algorithm is improved by integrating the characteristics of the imperial competition algorithm that are not affected by the initial population and the rapid convergence ability of the genetic algorithm. The experimental results show that the effect of the hybrid algorithm to find the optimal solution is better than that of the single algorithm, and the convergence speed is faster.