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Efficient DNA Algorithm for Constructing Ramsey Graph based on Minimal Degree Vertex

机译:基于最小度顶点构建RAMSEY图的高效DNA算法

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As a famous problem in Combinatorics, small Ramsey number is very hard to solve, because it needs to enumerate all possible graphs in exponential time. We propose a new DNA algorithm for constructing Ramsey graphs, which is a complete process for a small-scale instance to construct all the R(3,3)-graphs of order five from theory to experiment. Based on in-depth analysis of Ramsey graph and bio-manipulation, our method can eliminate infeasible solutions in advance, and decrease enumeration greatly. Finally, there is a comparison with other methods and some suggestions on improving our method, both theoretically and experimentally. This article demonstrates that how to optimize computing process with constraints on DNA computing, which is also a novel attempt to construct Ramsey graph. More R(3,k)-graphs on larger scale can be computed by the proposed method.
机译:作为组合学中的着名问题,小的Ramsey数字非常难以解决,因为它需要在指数时间中枚举所有可能的图形。我们提出了一种新的DNA算法来构建RAMSEY图,这是小规模实例的完整过程,以从理论到实验构建订单五的所有R(3,3)画面。基于RAMSEY图和生物操作的深入分析,我们的方法可以提前消除不可行的解决方案,并大大降低枚举。最后,与其他方法和一些关于改进我们的方法的一些建议进行了比较,从理论和实验上都有。本文演示了如何优化具有对DNA计算的约束的计算过程,这也是构建Ramsey图的新型尝试。可以通过所提出的方法计算更大尺度上的R(3,k)绘图。

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