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OBDD变量排序的自适应选择算法

SELF-ADAPTIVE SELECTION ALGORITHM FOR OBDD VARIABLE ORDERING

  • 摘要: 有序的二叉决策图(OBDD)是形式验证领域的基础技术之一.由于OBDD的大小对变量序非常敏感,使得变量排序问题成为最关键的一个问题.首先将OBDD变量排序问题分解为3个子问题,定义了若干启发信息,给出了上述子问题的启发式解法;然后提出了一个变量排序自适应选择算法,从若干候选变量序中选出"最佳"的变量序.最后给出了ISCAS85电路的实验结果.

     

    Abstract: The Ordered Binary Decision Diagram (OBDD) is used widely in digital design formal verification.However,the size of an OBDD is very sensitive to variable ordering.In this paper,a self-adaptive selecting algorithm proposed is based on a fast and effective measure for evaluating variable ordering,to select the “best” ordering among a group of orderings.The experimental results applied to ISCAS85 benchmark circuits demonstrate the practicability of our approach.

     

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