中文摘要：

借助于Packing问题的优化思想，提出了一种基于子模式类型的NAM优化策略．并比较了三角形子模式、矩形子模式以及三角形和矩形子模式混合的NAM表示方法，理论分析与实验结果均表明：基于子模式类型的NAM优化策略是行之有效的，对NAM的优化具有一定的指导意义．不断地逼近模式的最优化表示是NAM优化策略的最终目标，NAM优化问题在降低存储空间、提高传输速度、加快处理过程、模式匹配等方面具有理论参考意义和实际应用价值．

英文摘要：

Inspired by the optimization idea of the packing problem, an effective optimization strategy for the non-symmetry and anti-packing model （NAM） based on the type of the subpattern is proposed. By implementing and comparing the representation methods of the TNAM （triangle NAM）, the RNAM （rectangle NAM）, and the TRNAM （triangle and rectangle NAM）, the theoretical and experimental results show that the optimization strategy for the NAM based on the type of the subpattern is valid and feasible, and that the strategy has some significant guides for the optimization of the NAM. The objective of this optimization strategy for the NAM is to endlessly approach the optimal representation of a pattern. The optimization of the NAM is valuable for the further theoretical research and potential practical values such as decreasing the storage room, increasing the transmission speed, quickening the process procedure, matching pattern, and so on.