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Application of evolutionary algorithm to three key problems in VLSI layout

机译:进化算法在超大规模集成电路布局中的三个关键问题中的应用

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Evolutionary algorithm is a class of stochastic search algorithm, which can be applied to both combinatorial and numerical optimization problems, especially NP hard problems. Circuit partitioning, placement and clock routing are three key phases in VLSI physical design and they are proved to be NP hard. So a genetic algorithm frame and its realization process are presented in this paper in order to solve these problems. Meanwhile, this algorithm is used to test different benchmarks for three different problems, experimental results show that it is a feasible and valid algorithm. This genetic algorithm can also improve solutions when compared with traditional heuristic methods.
机译:进化算法是一类随机搜索算法,既可以应用于组合优化问题,也可以应用于数值优化问题,尤其是NP难问题。电路划分,布局和时钟布线是VLSI物理设计中的三个关键阶段,被证明是NP难的。为了解决这些问题,本文提出了一种遗传算法框架及其实现过程。同时,该算法用于测试三个不同问题的不同基准,实验结果表明,该算法是一种可行,有效的算法。与传统的启发式方法相比,该遗传算法还可以改善解决方案。

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