A new class of Steiner tree heuristics with good performance: the iterated 1-Steiner approach

A. Kahng, G. Robins
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引用次数: 61

Abstract

Virtually all previous methods for the rectilinear Steiner tree problem begin with a minimum spanning tree topology and rearrange edges to induce Steiner points. This study presents a more direct approach: the authors iteratively find optimal Steiner points to be added to the layout. The method gives improved average-case performance, and also avoids the worst-case examples of existing approaches. Sophisticated computational geometry techniques allow efficient and practical implementation, and the method is naturally suited to real-world VLSI regimes where, e.g., via costs can be high. Extensive performance results show almost 3% wirelength reduction over the best existing methods. A number of variants and extensions are described.<>
一类新的具有良好性能的斯坦纳树启发式算法:迭代1-斯坦纳方法
实际上,以前所有的线性斯坦纳树问题的方法都是从最小生成树拓扑开始的,并重新排列边以产生斯坦纳点。这项研究提出了一种更直接的方法:作者迭代地找到最优的斯坦纳点,并将其添加到布局中。该方法提高了平均情况下的性能,并避免了现有方法的最坏情况。复杂的计算几何技术允许高效和实用的实现,并且该方法自然适用于现实世界的VLSI制度,例如,通过成本可能很高。广泛的性能结果表明,与现有的最佳方法相比,该方法的带宽缩短了近3%。描述了许多变体和扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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