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TIMSPAT - Reachability graph search-based optimization tool for colored Petri net-based scheduling

机译:TIMSPAT-基于可达图搜索的优化工具,用于基于着色Petri网的调度

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The combination of Petri net (PN) modeling with Al-based heuristic search (HS) algorithms (PNHS) has been successfully applied as an integrated approach to deal with scheduling problems that can be transformed into a search problem in the reachability graph. While several efficient HS algorithms have been proposed albeit using timed PN, the practical application of these algorithms requires an appropriate tool to facilitate its development and analysis. However, there is a lack of tool support for the optimization of timed colored PN (TCPN) models based on the PNHS approach for schedule generation. Because of its complex data structure, TCPN-based scheduling has often been limited to simulation-based performance analysis only. Also, it is quite difficult to evaluate the strength and tractability of algorithms for different scheduling scenarios due to the different computing platforms, programming languages and data structures employed. In this light, this paper presents a new tool called TIMSPAT, developed to overcome the shortcomings of existing tools. Some features that distinguish this tool are the collection of several HS algorithms, XML-based model integration, the event-driven exploration of the timed state space including its condensed variant, localized enabling of transitions, the introduction of static place, and the easy-to-use syntax statements. The tool is easily extensible and can be integrated as a component into existing PN simulators and software environments. A comparative study is performed on a real-world eyeglass production system to demonstrate the application of the tool for scheduling purposes.
机译:Petri网(PN)建模与基于Al的启发式搜索(HS)算法(PNHS)的组合已成功地用作处理调度问题的集成方法,该问题可以转换为可达性图中的搜索问题。尽管已经提出了几种有效的HS算法,尽管使用了定时PN,但这些算法的实际应用需要适当的工具来促进其开发和分析。但是,缺少用于基于时间表生成的PNHS方法优化定时彩色PN(TCPN)模型的工具支持。由于其复杂的数据结构,基于TCPN的调度通常仅限于基于仿真的性能分析。而且,由于采用了不同的计算平台,编程语言和数据结构,因此很难针对不同的调度方案评估算法的强度和易处理性。有鉴于此,本文提出了一种名为TIMSPAT的新工具,旨在克服现有工具的不足。该工具与众不同的一些功能包括几种HS算法的集合,基于XML的模型集成,事件驱动的定时状态空间探索,包括其压缩变体,局部启用转换,引入静态位置以及易于实现的功能。使用语法语句。该工具易于扩展,可以作为组件集成到现有的PN仿真器和软件环境中。在现实世界的眼镜生产系统上进行了比较研究,以证明该工具可用于计划目的。

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