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求解迷宫布线问题的人工智能图搜索产生式系统

An AI Graph Search Production System for Maze Routing Problem

  • 摘要: 本文提出了一个求解迷宫布线问题的人工智能图搜索产生式系统。当取不同的控制策略,本系统可分别实现Lee算法和Rubin算法。基于上述系统本文还提出了一个启发性迷宫布线过程,其搜索的面积元素比Rubin算法减少30%左右。本文最后对Lee,Rubin算法和本文提出的过程作了统计比较。

     

    Abstract: This paper presents an artificial intelligence graph search production system for maze routing problem. Using different coatrol strategies, Lee(IRE Trans. EC-10, 1961: 346-365) and Rubin's (IEEE Trans. C-23, 1974: 907-914) algorithm can be realized on the system. Considering the defects of Lee and Rubin's algorithms, a novel heuristic procedure for the same problem is proposed. The number of cells for procedure searches is decreased about 30% than that of Rubi n's algorithm done. Finally, in a statistical analysis of Lee and Rubin's algorithms and the procedure proposed are provided.

     

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