针对协同设计模式下数控实时任务参数的选择问题，提出一种基于多目标优化的任务参数选择方法． 该方法依据实时任务模型、性能目标以及系统约束建立数控任务参
数选择问题的多目标优化模型． 对于优化模型的求解，提出一种具备协同进化算子与精英团队保留机制的扩展型非支配排序遗传算法，以实现在大规模决策空间下的快速搜索，使得数控系统整体性能目标最优． 最后，基于仿真实验分析总结了数控实时任务参数选择策略，通过对比传统任务参数选择方法证明了所提方法在实际应用中的优越性． !

In order to realize the parameter selection of CNC real-time task in collaborative design mode,a task pa- rameter selection method on the basis of multi-objective optimization is proposed.In this method,a multi-objective optimization model is established according to real-time task model,performance objective as well as system con- straint,and the model is solved by means of an extended non-dominated sorting genetic algorithm with co-evolution operator and elite team retention mechanism,thus the speed of searching optimal task parameters in large-scale de- cision space improves,which promotes the overall performance of CNC system to achieve the optimum.Finally,the parameter selection strategy of CNC real-time task is summarized according to simulation results and the superiority of the proposed method in practical application is proved through a comparison with the traditional task parameter selection approach.