An advanced placement method for SoC floorplanning based on ACO algorithm

Rong Luo, Peng Sun
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引用次数: 1

Abstract

In this paper, we present an advanced placement which aims at both flattening the temperature and decreasing the area in SoC floorplanning. The placement process is ingeniously converted into a quasi TSP problem and is solved by ant colony optimization (ACO) algorithm. Compared to traditional algorithms based on O-tree and B*-tree optimization, our results show great improvement in calculating speed while promising satisfying accuracy.
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一种基于蚁群算法的SoC布局优化方法
在本文中,我们提出了一种先进的安置方案,旨在降低SoC地板规划中的温度和面积。该方法将布局过程巧妙地转化为一个准TSP问题,并采用蚁群优化算法求解。与传统的基于o树和B*树优化的算法相比,我们的结果在保证令人满意的精度的同时,在计算速度上有了很大的提高。
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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