柔性工艺路线的改进蚁群作业调度算法

在具有柔性工艺路线的制造单元作业调度问题中，结合设备的约束以及加工过程中的费用、加工时间等因素，依据具有柔性的工艺加工路线，建立初始有向图。采用基于动态信息素更新策略的改进蚁群优化算法，在保证优化目标的基础上，迅速收敛并得到最优解，从而提高调度系统的可行性，增强系统稳定性。该方法以减少外协，均衡生产，降低总生产费用为目标，有效地支持了分布式制造单元的管理过程，增强了单元系统信息分布处理能力。最后通过算例，对计算结果进行了分析和讨论。

IMPROVED ACO SCHEDULING ALGORITHM BASED ON FLEXIBLE PROCESS

An improved ant colony optimization (ACO) algorithm is utilized in cell scheduling of the flexible manufaturing process for considering the instrument constraint, manufacturing cost and time. Firstly, the initial weighted directional diagram is set up. Secondly, the algorithm based on the dynamic pheromone updating ensures the quick convergence and the optimal solution, thus improving the feasibility and the stability of the schedule system. Aiming at reducing collaboration with external partners, decreasing the total cost and balancing the production process, the algorithm is efficient in supporting the management process of the manufacturing cell and in strengthening the information arrangement capabitity of the scheduling system. Finally, experimental results of the improved algorithm are compared with those of other algorithms.