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A new fast algorithm for solving the minimum spanning tree problem based on DNA molecules computation

机译:基于DNA分子计算的最小生成树问题快速求解新算法

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摘要

The minimum spanning tree (MST) problem is to find minimum edge connected subsets containing all the vertex of a given undirected graph. It is a vitally important NP-complete problem in graph theory and applied mathematics, having numerous real life applications. Moreover in previous studies, DNA molecular operations usually were used to solve NP-complete head-to-tail path search problems, rarely for NP-hard problems with multi-lateral path solutions result, such as the minimum spanning tree problem. In this paper, we present a new fast DNA algorithm for solving the MST problem using DNA molecular operations. For an undirected graph with n vertex and m edges, we reasonably design flexible length DNA strands representing the vertex and edges, take appropriate steps and get the solutions of the MST problem in proper length range and O(3. m+. n) time complexity. We extend the application of DNA molecular operations and simultaneity simplify the complexity of the computation. Results of computer simulative experiments show that the proposed method updates some of the best known values with very short time and that the proposed method provides a better performance with solution accuracy over existing algorithms.
机译:最小生成树(MST)问题是找到包含给定无向图的所有顶点的最小边连接子集。在图论和应用数学中,它是至关重要的NP完全问题,在现实生活中有许多应用。此外,在以前的研究中,DNA分子操作通常用于解决NP完整的从头到尾的路径搜索问题,很少用于具有多边路径解决方案结果的NP困难问题,例如最小生成树问题。在本文中,我们提出了一种使用DNA分子操作来解决MST问题的新型快速DNA算法。对于具有n个顶点和m个边的无向图,我们合理地设计了代表该顶点和边的灵活长度的DNA链,采取了适当的步骤,并在适当的长度范围和O(3。m +。n)时间复杂度下获得了MST问题的解。 。我们扩展了DNA分子操作的应用,同时简化了计算的复杂性。计算机仿真实验的结果表明,所提出的方法可以在很短的时间内更新一些最著名的值,并且所提出的方法具有优于现有算法的更好性能和解决方案精度。

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