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A kinematic chain isomorphism identification algorithm using optimized circuit simulation method

机译:基于优化电路仿真方法的运动链同构识别算法

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Kinematic chain Isomorphism identification (KCII), as an important application of graph isomorphism, plays a crucial role in mechanism creative design. However, traditional methods used in KCII lack efficiency and usually occupy high memory space. In this paper, a highly efficient algorithm is proposed, and an optimized circuit simulation method and the adjacency list are applied. The experimental results for KCII demonstrate a great improvement in computation efficiency compared with the original circuit simulation method and VF2 algorithm (in the symmetrical graphs situation).
机译:运动链同构识别(KCII)作为图同构的重要应用,在机制创新设计中起着至关重要的作用。但是,KCII中使用的传统方法效率低下,通常会占用大量存储空间。本文提出了一种高效的算法,并应用了优化的电路仿真方法和邻接表。 KCII的实验结果表明,与原始电路仿真方法和VF2算法相比(在对称图情况下),计算效率得到了极大的提高。

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