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首页> 外文期刊>Journal of Computer and Systems Sciences International >Minimization of Incompletely Specified Mealy Finite-State Machines by Merging Two Internal States
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Minimization of Incompletely Specified Mealy Finite-State Machines by Merging Two Internal States

机译:通过合并两个内部状态来最小化不完全指定的中等有限状态机

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摘要

A heuristic method for the minimization of Mealy finite state machines (FSMs) with unspecified values of the output variables based on merging two states is considered. Necessary and sufficient conditions for the possibility to merge two states and for forming wait states are given. Algorithms for determining the set of state pairs that can be merged, algorithms for finding the best pair for merging, and for the minimization of the number of FSM states and FSM input variables are presented. The proposed method makes it possible to reduce the number of internal states by a factor of 1.22 on the average and sometimes even by a factor of 2.75. The number of FSM transitions is reduced by a factor of 1.32 on the average and sometimes by a factor of 2.27. Compared with the well-known STAMINA computer program, the proposed method does not reduce the number of states but considerably reduces the number of transitions by a factor of 1.55 on the average and sometimes by a factor of 3.92.
机译:考虑了一种启发式方法,用于通过合并两个状态来最小化具有未指定输出变量值的Mealy有限状态机(FSM)。给出了合并两个状态和形成等待状态的必要和充分条件。介绍了用于确定可以合并的状态对集合的算法,用于查找最佳合并对的算法以及用于最小化FSM状态和FSM输入变量数量的算法。所提出的方法可以将内部状态的数量平均减少1.22倍,有时甚至减少2.75倍。 FSM过渡的数量平均减少了1.32倍,有时减少了2.27倍。与著名的STAMINA计算机程序相比,该方法不会减少状态数,但会平均将转换数减少1.55倍,有时减少3.92倍。

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