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Efficient Multilayer Obstacle-Avoiding Rectilinear Steiner Tree Construction Based on Geometric Reduction

机译:基于几何约简的高效多层避障直线斯坦纳树构造

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Given a set of pin-vertices, an obstacle-avoiding rectilinear Steiner minimal tree (OARSMT) connects all the pin-vertices possibly through Steiner points using vertical and horizontal segments with the minimal wirelength and without intersecting any obstacle. To deal with multiple routing layers and preferred routing orientations, we consider the multilayer obstacle-avoiding rectilinear Steiner minimal tree (ML-OARSMT) problem and the obstacle-avoiding preferred direction Steiner tree (OAPD-ST) problem. First, we prove that the multilayer case is theoretically different from the 2D one, and propose a reduction to transform a multilayer instance into a 3D instance. Based on the reduction, we apply computational geometry techniques to develop an efficient algorithm, utilizing existing OARSMT heuristics, for the ML-OARSMT problem and the OAPD-ST problem. Furthermore, we develop an advanced Steiner point selection to avoid inferior Steiner points and to improve the solution quality. Experimental results show that our algorithm provides a solution with excellent quality and has a significant speed-up compared to previously known results.
机译:给定一组销顶点,避免障碍的直线斯坦纳最小树(OARSMT)可能会使用具有最小线长且不相交任何障碍物的垂直和水平段,通过斯坦纳点连接所有销顶点。为了处理多个路由层和首选路由方向,我们考虑了多层避障直线斯坦纳最小树(ML-OARSMT)问题和避障首选方向斯坦纳树(OAPD-ST)问题。首先,我们证明多层案例在理论上与2D案例不同,并提出了将多层实例转换为3D实例的简化方法。基于减少量,我们应用计算几何技术来开发有效的算法,利用现有的OARSMT启发式方法来解决ML-OARSMT问题和OAPD-ST问题。此外,我们开发了先进的Steiner点选择,以避免次等Steiner点并提高解决方案质量。实验结果表明,与以前的结果相比,我们的算法提供了质量卓越的解决方案,并且速度明显提高。

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