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Partitioning optimization by iterative reassignment of the hierarchically built clusters with border elements

机译:通过迭代重新分配带有边界元素的分层构建的群集来进行分区优化

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This article presents a new approach for electronic circuit partitioning. The idea is the usage of hierarchically built clusters of arbitrary sizes created from the border elements of nets that belong to the cut. The implementation of such approach helps to improve the quality of solution by reducing the danger of being trapped in the local minima and also enables the decrease of the runtime. The process consists of four stages. At the first stage, some initial partitioning is either carried out by a constructive algorithm or generated randomly. At the second stage, two Optimal Reduction Trees are constructed from border elements. The remaining fragments are considered as single elements without border elements. All of these trees clusters are arranged by the gain of transferring from one of the remaining partitions to the other. The third stage is the main optimization phase. Iterative optimization procedures consisting in exchanging and transferring of the arbitrary size clusters chosen by the transfer gain are performed during it. The perturbation of the solution concerning the transference of one or a few clusters from one partition to another is used at the fourth stage to escape from the local extrema. The developed approach has been shown to demonstrate a performance with high quality results.
机译:本文介绍了一种用于电子电路分区的新方法。这个想法是使用由属于切割的网的边界元素创建的任意大小的分层构建的群集。这种方法的实现有助于通过减少陷入局部最小值的危险来提高解决方案的质量,并且还可以减少运行时间。该过程包括四个阶段。在第一阶段,一些初始分区要么通过构造算法执行,要么随机生成。在第二阶段,根据边界元素构建了两个“最优约简树”。其余片段被视为没有边框元素的单个元素。所有这些树簇都是通过从其余分区之一转移到另一个分区的增益来排列的。第三阶段是主要的优化阶段。在此过程中执行迭代优化过程,该过程包括交换和转移由转移增益选择的任意大小的聚类。在第四阶段,使用关于一个或几个簇从一个分区转移到另一个分区的解的扰动来逃避局部极值。已显示出开发的方法可证明具有高质量结果的性能。

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