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Charged system search algorithm for robotic drill path optimization

机译:用于机器人钻探路径优化的收费系统搜索算法

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This paper presents a Charged System Search (CSS) algorithm to solve for robotic drill path optimization involved in printed circuit board (PCB) manufacturing industries. Most of the operational time of a PCB Robotic Drill is spent on moving the drill bit between the holes. An optimized path translates to a minimal cost of operating the robot. The drill path consists of a number of potential locations where the holes are going to be drilled. As the number of holes required increases so thus does the complexity to find the optimized path. Recently developed CSS algorithm proposed to solve this complex problem with minimal computational time. The performance of CSS algorithm is tested and verified with four case studies from the literature. The computational experience conducted in this research indicates that the proposed algorithm is capable to efficiently find the optimal path for PCB holes drilling process with reasonable computational time.
机译:本文介绍了一个充电的系统搜索(CSS)算法,用于解决印刷电路板(PCB)制造业涉及的机器人钻道优化。 PCB机器人钻头的大多数操作时间都花在移动孔之间移动。优化的路径转换为操作机器人的最小成本。钻孔路径由许多潜在位置组成,其中孔将被钻出。随着所需的孔数量增加,因此可以找到优化路径的复杂性。最近开发的CSS算法提出以最小的计算时间解决这个复杂问题。测试了CSS算法的性能,并用文献的四个案例研究进行了测试和验证。本研究中进行的计算经验表明,该算法能够有效地找到具有合理计算时间的PCB孔钻井过程的最佳路径。

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