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On-line scheduling of cluster tools based on hybrid quantum evolutionary algorithm

机译:基于混合量子进化算法的聚类工具在线调度

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For on-line scheduling problem of cluster tools in semiconductor manufactory, this paper proposes an on-line scheduling method based on hybrid quantum evolutionary algorithm. This method determines the optimal wafer sequence by quantum evolutionary, while the heuristic algorithm determines the robot sequence based on the given sequence by two-stage recursion procedure. One recursion procedure is to search the feasible solution space of a new insert wafer in a forward stepwise manner, which guarantees both logic correctness and temporal constraints. The other computes the optimal solution among the feasible solution space obtained in the previous phase in a maximum backtracking manner. The simulations show that the mentioned method is effective for solving the large-scale scheduling problems.
机译:针对半导体制造中的集群工具的在线调度问题,提出了一种基于混合量子进化算法的在线调度方法。该方法通过量子进化来确定最佳晶片序列,而启发式算法通过两级递归过程根据给定的序列来确定机器人序列。一种递归程序是以逐步方式搜索新插入晶片的可行解空间,这可以保证逻辑正确性和时间约束。另一个以最大的回溯方式计算前一阶段获得的可行解空间中的最优解。仿真结果表明,该方法对于解决大规模调度问题是有效的。

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