一种基于蚁群算法的SoC布局优化方法

2007 50th Midwest Symposium on Circuits and Systems Pub Date : 2007-08-01 DOI:10.1109/MWSCAS.2007.4488757

Rong Luo, Peng Sun

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引用次数: 1

摘要

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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An advanced placement method for SoC floorplanning based on ACO algorithm

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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2007 50th Midwest Symposium on Circuits and Systems

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