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1.375-Approximation Algorithm for Sorting by Reversals

机译:1.375近似按逆序排序的算法

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摘要

Analysis of genomes evolving by inversions leads to a general combinatorial problem of Sorting by Reversals, MIN-SBR, the problem of sorting a permutation by a minimum number of reversals. Following a series of preliminary results, Hannenhalli and Pevzner developed the first exact polynomial time algorithm for the problem of sorting signed permutations by reversals, and a polynomial time algorithm for a special case of unsigned permutations. The best known approximation algorithm for MIN-SBR, due to Christie, gives a performance ratio of 1.5. In this paper, by exploiting the polynomial time algorithm for sorting signed permutations and by developing a new approximation algorithm for maximum cycle decomposition of breakpoint graphs, we design a new 1.375-algorithm for the MIN-SBR problem.
机译:对通过反演进化的基因组进行分析会导致一个一般的组合问题,即按逆向排序MIN-SBR,即按最小数目的逆向排序排列的问题。经过一系列初步结果,Hannenhalli和Pevzner开发了第一个精确的多项式时间算法来解决通过逆序排序有符号排列的问题,并开发了多项式时间算法来解决无符号排列的特殊情况。由于科视,最著名的MIN-SBR近似算法的性能比为1.5。在本文中,通过利用多项式时间算法对有序排列进行排序,并通过开发一种新的近似算法来对断点图进行最大循环分解,我们针对MIN-SBR问题设计了一种新的1.375算法。

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