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Improved methods for scheduling flexible manufacturing systems based on Petri nets and heuristic search

机译:基于Petri网和启发式搜索的柔性制造系统调度的改进方法。

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This paper proposes and evaluates two improved Petri net (PN)-based hybrid search strategies and their applications to flexible manufacturing system (FMS) scheduling. The algorithms proposed in some previous papers, which combine PN simulation capabilities with A * heuristic search within the PN reachability graph,may not find an optimum solution even with an admissible heuristic function. To remedy the defects an improved heuristic search strategy is proposed, which adopts a different method for selecting the promising markings and reserves the admissibility of the algorithm. To speed up the search process, another algorithm is also proposed which invokes faster termination conditions and still guarantees that the solution found is optimum. The scheduling results are compared through a simple FMS between our algorithms and the previous methods. They are also applied and evaluated in a set of randomly-generated FMSs with such characteristics as multiple resources and alternative routes.
机译:本文提出并评估了两种改进的基于Petri网(PN)的混合搜索策略及其在柔性制造系统(FMS)调度中的应用。先前的一些论文中提出的算法,将PN仿真功能与PN可达性图中的A *启发式搜索相结合,即使具有允许的启发式功能,也可能找不到最佳解决方案。为了弥补这些缺陷,提出了一种改进的启发式搜索策略,该策略采用了不同的方法来选择有希望的标记,并保留了算法的可采性。为了加快搜索过程,还提出了另一种算法,该算法调用更快的终止条件并仍然保证找到的解决方案是最佳的。通过简单的FMS将调度结果与我们的算法和以前的方法进行比较。它们还可以在一组随机生成的FMS中进行应用和评估,这些FMS具有多种资源和替代路线的特征。

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